Computer Science and Information Technology

Department Overview

The Department of Computer Science and Information Technology at Salahaddin University-Erbil was established in 1999 as part of the College of Education. In 2014, it was transferred to the College of Science, where it continues to develop and expand. The department offers a comprehensive curriculum that covers various aspects of computer science, including programming, networking, cybersecurity, database systems, web development, and artificial intelligence.

Since 2010, the department has been a leader in postgraduate education, offering Ph.D. and M.Sc. programs in various computing disciplines and a comprehensive four-year Bachelor of Science program.

Committed to excellence in education and research, the department provides undergraduate and postgraduate programs, equipping students with the necessary knowledge and skills to excel in academia, industry, and technological innovation. Through a combination of theoretical instruction, laboratory work, and research opportunities, students gain hands-on experience in solving real-world computing challenges.

Head of department

Dr. Dler Salih Hasan

Assistant Professor, Department of Computer Science and Information Technology Salahaddin University-Erbil

I hold a Ph.D. in Robotics Engineering and currently serve as an Assistant Professor at Salahaddin University-Erbil. My research primarily focuses on Robotics, the Internet of Things (IoT), and Sensor Technologies, aiming to develop intelligent systems that address real-world challenges. Throughout my academic career, I have made significant contributions to these fields, with numerous publications in esteemed international journals and conferences.

My teaching experience spans both undergraduate and postgraduate levels, where I cover a wide range of subjects, including: Object-Oriented Programming (OOP), Internet of Things (IoT), Embedded Systems, Robotics Engineering, and Fundamentals of Information Technology

In addition to teaching, I actively supervise BSc, MSc, and Ph.D. students, guiding them in their research projects and thesis work, particularly in areas related to robotics, IoT, and sensor technologies. My mentorship has supported students in developing innovative solutions that contribute to technological advancements in their respective fields.

Research Focus:
  • Practical Applications: My research is aimed at solving pressing real-world problems, including applications in smart healthcare, precision agriculture, and Industry 5.0.
  • Interdisciplinary Approach: I work in collaboration with experts across fields such as IoT, robotics, and synthetic biology, enhancing the societal impact of my research.
  • Innovation: I explore cutting-edge methodologies like integrating AI with blockchain to create secure IoT systems and utilizing sensor fusion in robotics to improve automation and decision-making processes.
Mission

The mission of the Department of Computer Science and Information Technology is to provide high-quality education that fosters innovation, creativity, and critical thinking in the field of computer science. We aim to equip students with a comprehensive understanding of essential technical skills, ranging from programming and software development to network security and artificial intelligence. Through hands-on learning and research, we prepare graduates to meet the challenges of a rapidly evolving digital world, contributing to the advancement of technology in various domains such as web development, robotics, and data science. Our commitment to excellence in teaching, research, and community engagement ensures that our students are not only proficient in their technical knowledge but also socially responsible professionals ready to make meaningful contributions to society.

Vision

Our vision is to be a leading center for computer science and information technology education, research, and innovation in the region. By fostering a collaborative and intellectually stimulating environment, we aspire to shape future leaders in technology who are equipped to tackle global challenges. We aim to continually enhance our curriculum and research initiatives to align with industry trends and societal needs, ensuring that our graduates possess the skills necessary to drive technological advancements and contribute to the digital transformation of industries worldwide. Through dedication to academic excellence, interdisciplinary research, and community involvement, the department seeks to inspire lifelong learning and the ethical application of technology.

Learning Outcomes

Graduates from the Department of Computer Science and Information Technology will:

  1. Demonstrate proficiency in multiple programming languages (e.g., C, Java, Python) and effectively apply programming concepts such as object-oriented programming, data structures, algorithms, and GUI development.
  2. Design, implement, and optimize algorithms for solving complex computational problems.
  3. Apply knowledge of multimedia technologies, graphic design principles, 3D modeling, and game development to create interactive digital content.
  4. Develop multimedia applications and games using modern tools and techniques.
  5. Understand and apply the fundamental principles of information technology, computer architecture, and digital logic design.
  6. Design, develop, and deploy dynamic and responsive web applications, leveraging web technologies such as HTML, CSS, JavaScript, and server-side scripting.
  7. Understand the principles and applications of e-business, e-government, and cloud computing.
  8. Master the design, implementation, and management of databases using modern database management systems like Oracle.
  9. Develop effective database solutions, including data storage, retrieval, and optimization techniques.
  10. Design, develop, and troubleshoot embedded systems and robotic applications, including motion analysis, object tracking, and 3D simulation.
  11. Understand and apply the principles of computer networking, including network administration, routing, switching, and wireless communication.
  12. Manage and optimize networks, ensuring reliability, security, and efficiency.
  13. Develop and apply machine learning algorithms, expert systems, and neural networks for problem-solving and data analysis.
  14. Utilize advanced techniques in natural language processing, image processing, and AI-driven applications.
  15. Apply mathematical concepts such as discrete structures, numerical analysis, and statistics to solve computational problems.
  16. Design and develop user-friendly mobile applications, incorporating principles of UI/UX design to enhance user experience.
  17. Utilize mobile development frameworks and tools to create functional and aesthetically pleasing applications.
This is Partnerships section...

Degree Program Overview

The Department of Computer Science and Information Technology provides undergraduate programs in Computer Science and Information Technology, designed to offer students a comprehensive education in computing and technology. These programs combine theoretical knowledge with practical experience, preparing graduates for careers in software development, network administration, cybersecurity, data science, AI, robotics, and other technology-driven industries. Graduates are equipped with the skills needed for advanced studies or immediate employment in the rapidly evolving field of technology.

Computer Science Program

The Computer Science program focuses on the theoretical foundations and practical applications of computing. Students gain a solid understanding of programming, algorithms, data structures, computer architecture, and software engineering. The program emphasizes the integration of theoretical knowledge with hands-on experience, preparing students for diverse careers in fields such as software development, artificial intelligence, and data analytics. Students will also explore areas such as AI, machine learning, computer networking, database management, and cybersecurity.

Key features of the Computer Science program include:
  • Core Courses in Programming, Object-Oriented Programming, Data Structures, Algorithms, and Software Engineering.
  • Elective courses that allow students to specialize in areas such as Artificial Intelligence, Image Processing, and Advanced Algorithms.
  • Research and development projects in the final year to cultivate problem-solving, data analysis, and technical communication skills.
  • Hands-on training through labs and internships in software development and system administration

Information Technology Program

The Information Technology program emphasizes the practical application of computing in business and society. It covers a wide range of topics, including web development, database management, cloud computing, cybersecurity, and enterprise systems. Students gain the skills needed to design, implement, and manage IT solutions for organizations, ensuring the integration of hardware, software, and network systems to meet business needs. The program also focuses on practical skills for system administration, data management, and IT security.

Key features of the Information Technology program include:
  • Core Courses in Web Technologies, Database Systems, Networking, Information Security, and IT Project Management.
  • Elective courses for specialization in areas such as Cloud Computing, e-Business, Mobile Application Development, and Network Security.
  • Practical training in system administration, web application development, and enterprise system management.
  • A final-year project focusing on real-world IT solutions to demonstrate technical expertise and project management skills.
 

Program Structure

Both degree programs are four-year, full-time Bachelor of Science (B.Sc.) programs, structured according to the European Credit Transfer and Accumulation System (ECTS). Each academic year is divided into two semesters, with students completing 30 ECTS credits per semester.

  • Years 1 and 2 Focus on foundational courses in programming, algorithms, mathematics, computer architecture, basic networking, and essential skills such as communication and teamwork.
  • Years 3 and 4 Students select electives and engage in advanced coursework and research projects in areas such as AI, database management, network administration, and cybersecurity. Specialized and advanced courses are tailored to each program’s focus.

Career Readiness and Development

The programs prioritize practical experience, research, and ethical practices in computing and technology. Students gain significant advantages from:
  • Laboratory sessions using modern computing tools and technologies.
  • Opportunities for internships and industrial placements to gain real-world experience.
  • Academic advising and career services to help students transition into the workforce or further education.

Graduates are well-prepared for careers in software development, cybersecurity, IT consulting, network management, system administration, data science, AI research, and more. The Department of Computer Science and Information Technology is committed to excellence in teaching, research, and community engagement, ensuring that graduates are equipped to contribute to technological advancements and solve real-world challenges in various industries.

Postgraduate Studies

The Department of Computer Science and Information Technology at Salahaddin University-Erbil offers dynamic postgraduate programs designed to foster advanced knowledge, promote research innovation, and develop specialized expertise in computing and information technology.

Program Offerings

  1. Master of Science (M.Sc.) in Computer Science

    2. The M.Sc. program provides students with advanced theoretical knowledge and practical skills in various domains of computer science. It emphasizes both coursework and research, preparing students for careers in academia, industry, and government sectors.

    Focus Areas:
    • Artificial Intelligence
    • Machine Learning
    • Data Science and Analytics
    • Computer Networks and Cybersecurity
    • Database Systems
    • IoT

    ECTS Distribution:

    The program is structured to include 120 ECTS over two academic years:

    • Coursework (60 ECTS): ): Advanced topics in computer science tailored to the student’s area of specialization.
    • Research Thesis (60 ECTS): An independent research project culminating in a thesis defense.

    Learning Outcomes:

    Graduates of the M.Sc. program will:

    1. Demonstrate advanced knowledge in their chosen field of computer science.
    2. Design, conduct, and analyze computational research using appropriate methodologies.
    3. Communicate research findings effectively through written reports and oral presentations.
    4. Apply critical thinking to address complex computing problems.
    5. Work independently and collaboratively in research teams.
  2. Doctor of Philosophy (Ph.D.) in Computer Science

    3. The Ph.D. program focuses on original, high-impact research contributions to the field of computer science. It aims to develop experts who will drive innovation through groundbreaking research and academic leadership.

    Specialization Areas:

    Students work closely with faculty mentors to focus on specific research areas within computer science, such as:

    • Machine Learning and AI
    • Computational Theory
    • Software Development
    • Networking and Cloud Computing
    • Cybersecurity and Data Protection
    ECTS Distribution:

    The Ph.D. program requires 180 ECTS, typically completed over three to four years:

    • Advanced Coursework (30 ECTS): Topics designed to support the research project.
    • Research and Dissertation (150 ECTS): Original research leading to a dissertation and defense.
    Learning Outcomes:

    Graduates of the Ph.D. program will:

    1. Conduct independent, innovative research that significantly contributes to the knowledge base of computer science.
    2. Demonstrate expert-level proficiency in a specialized area of computer science.
    3. Publish research findings in high-impact, peer-reviewed journals.
    4. Exhibit advanced problem-solving, critical-thinking, and leadership skills.
    5. Lead research teams and mentor emerging researchers in the field.
    Admission Requirements M.Sc. Program
    • Bachelor’s degree in Computer Science or a closely related field.
    • Minimum academic performance as per university regulations.
    • Proficiency in English (demonstrated through tests like IELTS or TOEFL).
    • Successful performance in the entrance exam and interview.
    Ph.D. Program
    • Master’s degree in Computer Science or a related discipline.
    • Proven research experience, preferably with publications in reputable journals.
    • Submission of a detailed research proposal aligned with the department’s areas of expertise.
    • Proficiency in English (demonstrated through tests like IELTS or TOEFL).
    • Successful performance in the entrance exam and interview.
    Career Opportunities

    The postgraduate programs are designed to equip students with the expertise needed for leadership roles in academia, industry, and government. Graduates are prepared for high-level careers in areas such as:

    • Software development
    • Cybersecurity and information security
    • Data analysis and artificial intelligence
    • Network management and cloud computing
    • Academia and research institutions

    These programs empower students to contribute meaningfully to advancing the field of computer science and information technology, addressing complex challenges and shaping the future of technology.

Program Learning Outcomes

Graduates from the Department of Computer Science and Information Technology at Salahaddin University-Erbil will achieve the following learning outcomes upon successful completion of the Computer Science or Information Technology programs:

  1. Comprehensive Knowledge o Demonstrate a deep understanding of core concepts in computer science and information technology, including programming (OOP, advanced programming), data structures and algorithms, multimedia, graphic design, AI, machine learning, databases, networking, web development, cybersecurity, and embedded systems. Graduates will have a strong foundation in both theoretical principles and practical applications of computing across diverse fields.
  2. Critical Thinking and Problem-Solving o Apply critical thinking skills and scientific reasoning to design and optimize algorithms, develop complex software systems, and solve intricate technological problems. Graduates will be capable of innovating solutions to challenges in areas such as game development, database management, network security, and embedded systems, contributing to advancements in the field of computing.
  3. Technical Proficiency o Establish competency in a wide range of technical skills, including programming in various languages (e.g., Java, C++, Python), web application development, network administration, mobile application development, database management, and cybersecurity. This includes using tools and technologies for multimedia, graphic design, 3D animations, game development, and embedded systems to solve real-world problems.
  4. Ethical and Professional Conduct o Uphold ethical standards and integrity in software development, cybersecurity practices, and research. Graduates will understand the principles of data privacy, information security, and the responsible use of technology. They will apply ethical decision-making in both professional environments and their own technical projects, ensuring safe and responsible technology practices in computing.
  5. Effective Communication o Communicate technical information, research findings, and system designs effectively to diverse audiences, including peers, stakeholders, and non-technical audiences. Graduates will be skilled in writing research reports, presenting findings clearly in professional settings, and creating visual representations of data and software projects. They will also communicate complex technical ideas through effective user interfaces (UI/UX) and documentation.
  6. Career Readiness o Prepare for careers in a wide array of fields such as software development, network management, cybersecurity, mobile app development, database administration, IT consulting, and embedded systems. Graduates will have hands-on experience through internships, final-year projects, and collaborative team environments, equipping them to thrive in professional, academic, or research careers in the technology sector.
  7. Lifelong Learning and Adaptability o Engage in lifelong learning to remain current with the rapidly evolving field of computing and technology. Graduates will demonstrate the ability to adapt to new programming languages, software development methodologies, AI algorithms, network protocols, and technological tools. They will pursue continuous professional development through industry certifications, advanced degrees, or self-directed learning.
  8. Research and Innovation o Conduct independent research and contribute to technological progress by developing and testing new algorithms, software solutions, and computing systems. Graduates will be capable of innovating in fields like artificial intelligence, machine learning, game development, cybersecurity, and embedded systems, with the skills needed to formulate hypotheses, conduct experiments, and analyze data effectively. They will be well-prepared to pursue advanced studies or engage in research-driven careers.

By achieving these outcomes, graduates from the Department of Computer Science and Information Technology will be well-prepared to tackle complex technological challenges, contribute to the development of new technologies, and make meaningful contributions to the global technological landscape.

The General Biology and Biomedical Science programs of the Department of Biology provide extensive courses. Each course is constructed to provide students with practical skills and a comprehensive understanding of various biological disciplines. Following is an in-depth list of the courses that are available in both programs:

General Biology Program First Semester
  • SBG101 – Zoology I (9 ECTS) Study of animal classification, morphology, and physiology with lab practices.
  • SBG102 – Botany I (6 ECTS) Introduction to plant structure, growth, and function with practical sessions.
  • SBG103 – Organic Chemistry (6 ECTS) Fundamentals of organic molecules and reactions relevant to biological systems.
  • SU1001 – Computer Skills (3 ECTS) Basic computer applications and software tools for academic purposes.
  • SU1003 – Kurdish Studies (3 ECTS) Study of Kurdish history, culture, and language.
  • SU1004 – English for University Students (3 ECTS) Development of academic English skills.
Second Semester
  • SBG201 – Zoology II (6 ECTS) Continuation of animal classification and physiology with emphasis on diversity.
  • SBG202 – Botany II (6 ECTS) Advanced concepts in plant physiology and taxonomy.
  • SBG203 – Analytical Chemistry (6 ECTS) Techniques for analyzing biological samples and chemical compounds.
  • SBG204 – Biosafety and Biosecurity (3 ECTS) Safety practices in biological research and laboratory settings.
  • SU1002 – Academic Skills (6 ECTS) Academic writing, critical reading, and research skills.
  • SU1005 – English for Specific Purposes (3 ECTS) Discipline-specific English terminology and communication skills.
Third Semester
  • SBG301 – Microbiology I (Core) (6 ECTS) Introduction to microorganisms and their roles in health and environment.
  • SBG302 – Biochemistry I (Core) (6 ECTS) Study of biomolecules and metabolic pathways.
  • SBG303 – Cell Biology (Core) (6 ECTS) Structure and function of cells, organelles, and cellular processes.
  • SBG304 – Plant Anatomy (Core) (6 ECTS) Study of plant tissues and their organization.
  • SBG305 – Invertebrates or Venomous Invertebrates (Elective 1) (3 ECTS) Exploration of invertebrate diversity and venomous species.
  • SBG306 – Algae or Phycology (Elective 2) (3 ECTS) Study of algae types, ecology, and applications.
Fourth Semester
  • SBG401 – Microbiology II (Core) (6 ECTS) Advanced study of microorganisms and infectious diseases.
  • SBG402 – Biochemistry II (Core) (6 ECTS) Continuation of metabolic processes and biochemical analysis.
  • SBG403 – Parasitology (Core) (6 ECTS) Study of parasites affecting humans and animals.
  • SBG404 – Plant Taxonomy (Core) (6 ECTS) Classification and identification of plant species.
  • SBG405 – Microtechniques or Tissue Culture Technique (Elective 1) (3 ECTS) Laboratory methods for preparing and studying biological samples.
  • SBG406 – Archegoniate or Toxic Plants (Elective 2) (3 ECTS) Study of higher plants or toxic plant species.
Fifth Semester
  • SBG501 – Histology (3 Units) Study of tissues and microscopic anatomy.
  • SBG502 – Entomology (3 Units) Study of insects, their classification, and ecological roles.
  • SBG503 – Animal Physiology I (3 Units) Functions of animal organ systems.
  • SBG504 – Ecology (3 Units) Interactions between organisms and their environment.
  • SBG505 – Virology (3 Units) Study of viruses and their impact on living organisms.
  • SBG506 – Epidemiology (Elective) (3 Units) Patterns and control of diseases in populations.
Sixth Semester
  • SBG601 – Embryology (3 Units) Development of embryos and early life stages.
  • SBG602 – Animal Physiology II (3 Units) Continuation of animal physiology, focusing on advanced topics.
  • SBG603 – Mycology (3 Units) Study of fungi, including taxonomy and pathology.
  • SBG604 – Molecular Biology (3 Units) Genetic mechanisms and molecular processes.
  • SBG605 – Microbial Physiology (3 Units) Study of microbial growth and metabolism.
  • SBG606 – Pollution (Elective) (3 Units) Environmental pollution and its biological impact.
Seventh Semester
  • SBG701 – Food Microbiology (3 Units) Microorganisms in food production and safety.
  • SBG702 – Medical Bacteriology I (3 Units) Pathogenic bacteria and disease mechanisms.
  • SBG703 – Hematology (3 Units) Study of blood cells and disorders.
  • SBG704 – Genetics (3 Units) Principles of inheritance and genetic variation.
  • SBG705 – Comparative Anatomy (3 Units) Comparative study of vertebrate anatomy.
  • SBG706 – Diagnostic Parasitology (Elective) (3 Units) Techniques for diagnosing parasitic infections.
  • SBG707 – Research Project (2 Units) Independent research under faculty supervision.
Eighth Semester
  • SBG801 – Plant Physiology (3 Units) Processes in plant growth and function.
  • SBG802 – Medical Bacteriology II (3 Units) Continuation of bacterial diseases and diagnostics.
  • SBG803 – Immunology (3 Units) The immune system and its functions.
  • SBG804 – Microbial Genetics (3 Units) Genetics of microorganisms and genetic engineering.
  • SBG805 – Industrial Microbiology (3 Units) Microbial applications in industry.
  • SBG806 – Bioinformatics (Elective) (3 Units) Analysis of biological data using computational tools.
  • SBG807 – Research Project (2 Units) Completion and presentation of research findings.
Biomedical Science Program The Biomedical Science program is designed to provide students with a deep understanding of the biological sciences related to human health and disease. The following is a detailed course catalog covering each semester of the program.   First Semester
  • SBM101 – Zoology I (9 ECTS) Introduction to animal biology, focusing on classification, anatomy, physiology, and behavior of invertebrates and vertebrates. Hours/Week: 2 Theory, 2 Practical
  • SBM102 – Botany I (6 ECTS) Fundamental concepts in plant biology, including morphology, physiology, and taxonomy. Hours/Week: 2 Theory, 2 Practical
  • SBM103 – Organic Chemistry (6 ECTS) Basics of organic compounds, including structure, reactions, and mechanisms relevant to biological systems. Hours/Week: 2 Theory, 2 Practical
  • SU1001 – Computer Skills (3 ECTS) Introduction to essential computer applications, data management, and scientific software. Hours/Week: 1 Theory, 2 Practical
  • SU1003 – Kurdish Studies (3 ECTS) An overview of Kurdish history, language, and culture. Hours/Week: 2 Theory
  • SU1004 – English for University Students (3 ECTS) Basic English language skills for academic purposes. Hours/Week: 2 Theory
Second Semester
  • SBM201 – Zoology II (6 ECTS) Advanced study of animal diversity, focusing on the physiology and development of various animal groups. Hours/Week: 2 Theory, 2 Practical
  • SBM202 – Botany II (6 ECTS) Continuation of Botany I, covering plant reproduction, growth, and ecological interactions. Hours/Week: 2 Theory, 2 Practical
  • SBM203 – Analytical Chemistry (6 ECTS) Principles of chemical analysis, including qualitative and quantitative techniques. Hours/Week: 2 Theory, 2 Practical
  • SBM204 – Biosafety and Biosecurity (3 ECTS) Fundamentals of laboratory safety, handling biological materials, and risk management. Hours/Week: 2 Theory
  • SU1002 – Academic Skills (6 ECTS) Development of research, writing, and presentation skills for academic success. Hours/Week: 2 Theory, 2 Practical
  • SU1005 – English for Specific Purposes (3 ECTS) Specialized English for scientific and biomedical contexts. Hours/Week: 2 Theory
Third Semester
  • SBM301 – Microbiology I (Core) (6 ECTS) Introduction to microorganisms, including bacteria, viruses, fungi, and their roles in health and disease. Hours/Week: 2 Theory, 2 Practical
  • SBM302 – Biochemistry I (Core) (6 ECTS) Structure and function of biomolecules, including proteins, lipids, carbohydrates, and nucleic acids. Hours/Week: 2 Theory, 2 Practical
  • SBM303 – Cell Biology (Core) (6 ECTS) Study of cellular structure, function, and processes such as signaling and division. Hours/Week: 2 Theory, 2 Practical
  • SBM304 – Medical Protozoology (Core) (6 ECTS) Study of medically significant protozoa, their life cycles, and pathogenicity. Hours/Week: 2 Theory, 2 Practical
  • SBM305 – Histology or Histopathology (Elective 1) (3 ECTS) Option 1: Histology – Study of normal tissues and their microscopic structure. Option 2: Histopathology – Study of tissue abnormalities and disease pathology. Hours/Week: 2 Theory, 2 Practical
  • SBM306 – Human Anatomy or Anatomy of Laboratory Animals (Elective 2) (3 ECTS) Option 1: Human Anatomy – Overview of human body systems and structures. Option 2: Anatomy of Laboratory Animals – Comparative anatomy relevant to research models. Hours/Week: 2 Theory, 2 Practical
Fourth Semester
  • SBM401 – Microbiology II (Core) (6 ECTS) Advanced topics in microbial physiology, genetics, and host-pathogen interactions. Hours/Week: 2 Theory, 2 Practical
  • SBM402 – Biochemistry II (Core) (6 ECTS) Metabolic pathways, enzymology, and biochemical regulation mechanisms. Hours/Week: 2 Theory, 2 Practical
  • SBM403 – Genetics (Core) (6 ECTS) Principles of inheritance, gene expression, and genetic variation. Hours/Week: 2 Theory, 2 Practical
  • SBM404 – Medical Helminthology (Core) (6 ECTS) Study of parasitic worms, their life cycles, and diseases they cause. Hours/Week: 2 Theory, 2 Practical
  • SBM405 – Human Embryology or Developmental Biology (Elective 1) (3 ECTS) Option 1: Human Embryology – Study of human development from fertilization to birth. Option 2: Developmental Biology – Mechanisms of growth and differentiation in organisms. Hours/Week: 2 Theory, 2 Practical
  • SBM406 – Medical Physics or Biophysics (Elective 2) (3 ECTS) Option 1: Medical Physics – Physical principles applied to medical diagnostics and treatment. Option 2: Biophysics – Study of biological processes using physical methods. Hours/Week: 2 Theory, 2 Practical
Fifth Semester
  1. SBM501 – Molecular Biology I Units: 3 | Hours/Week: 2 Theory, 2 Practical This course covers the fundamental principles of molecular biology, including DNA structure, replication, transcription, translation, and gene regulation. Laboratory sessions focus on techniques such as DNA extraction, PCR, and gel electrophoresis.
  2. SBM502 – Hematology I Units: 3 | Hours/Week: 2 Theory, 2 Practical Introduction to blood cell physiology, hematopoiesis, and the morphology of blood components. Practical work includes blood smear preparation, staining, and analysis of normal and abnormal cells.
  3. SBM503 – Basics Immunology Units: 3 | Hours/Week: 2 Theory, 2 Practical This course covers the immune system's components and functions, including innate and adaptive immunity, antigens, antibodies, and immune responses. Laboratory activities include serological tests and immunological assays.
  4. SBM504 – Medical Mycology Units: 3 | Hours/Week: 2 Theory, 2 Practical Study of medically significant fungi, including their identification, pathogenicity, and treatment. Practical work involves culturing and identifying fungal species associated with human disease.
  5. SBM505 – Basics Physiology Units: 3 | Hours/Week: 2 Theory, 2 Practical Introduction to human physiological processes, including homeostasis, nervous, and major organ systems. Laboratory exercises focus on measuring physiological parameters.
  6. SBM506 – Pharmacology (Elective) Units: 3 | Hours/Week: 3 Theory Covers the principles of pharmacodynamics and pharmacokinetics, drug classifications, mechanisms of action, and therapeutic uses.
Sixth Semester
  1. SBM601 – Molecular Biology II Units: 3 | Hours/Week: 2 Theory, 2 Practical Advanced molecular biology topics include gene expression regulation, epigenetics, and recombinant DNA technology. Practical sessions involve cloning and gene expression analysis.
  2. SBM602 – Hematology II Units: 3 | Hours/Week: 2 Theory, 2 Practical Continuation of Hematology I, covering hematological disorders, anemia, leukemias, and coagulation pathways. Practical work includes diagnostic techniques for blood disorders.
  3. SBM603 – Medical Immunology Units: 3 | Hours/Week: 2 Theory, 2 Practical Focus on immune system dysfunctions, autoimmune diseases, immunodeficiencies, and immunotherapy. Laboratory sessions involve advanced immunological assays.
  4. SBM604 – Medical Virology Units: 3 | Hours/Week: 2 Theory, 2 Practical Study of viruses affecting humans, including their structure, replication, pathogenesis, and laboratory diagnosis. Practical work includes virus culture techniques and diagnostic assays.
  5. SBM605 – Medical Physiology Units: 3 | Hours/Week: 2 Theory, 2 Practical In-depth study of human organ systems, focusing on disease-related physiological changes. Laboratory work includes physiological measurements and functional assessments.
  6. SBM606 – Microtechnique (Elective) Units: 3 | Hours/Week: 2 Theory, 2 Practical Introduction to tissue preparation techniques, including fixation, embedding, sectioning, and staining. Practical sessions involve histological slide preparation and microscopic analysis.
Seventh Semester
  1. SBM701 – Medical Bacteriology I Units: 3 | Hours/Week: 2 Theory, 2 Practical Study of pathogenic bacteria, their identification, and clinical significance. Laboratory work includes culturing, staining, and antibiotic susceptibility testing.
  2. SBM702 – Biotechnology Units: 3 | Hours/Week: 2 Theory, 2 Practical Covers the applications of biotechnology in medicine, agriculture, and industry. Practical sessions focus on DNA cloning, genetic engineering, and biotechnological techniques.
  3. SBM703 – Clinical Chemistry Units: 3 | Hours/Week: 2 Theory, 2 Practical Principles and methods for analyzing body fluids for diagnostic purposes. Laboratory work includes assays for glucose, cholesterol, liver enzymes, and electrolytes.
  4. SBM704 – Instrumental Analysis Units: 3 | Hours/Week: 2 Theory, 2 Practical Study of analytical instruments used in biomedical laboratories, such as spectrophotometers, chromatographs, and electrophoresis units. Practical sessions focus on instrument operation and data interpretation.
  5. SBM705 – Toxicology Units: 3 | Hours/Week: 2 Theory, 2 Practical Introduction to the principles of toxicology, including mechanisms of toxicity, poison detection, and treatment. Laboratory work includes toxin analysis in biological samples.
  6. SBM706 – Bioinformatics (Elective) Units: 3 | Hours/Week: 3 Theory Covers computational tools for analyzing biological data, such as DNA sequences and protein structures. Practical sessions involve using bioinformatics software for sequence analysis.
  7. SBM707 – Research Project Units: 2 | Hours/Week: 1 Theory, 2 Practical Students undertake an independent research project, including experimental design, data collection, analysis, and presentation of results.
Eighth Semester
  1. SBM801 – Medical Bacteriology II Units: 3 | Hours/Week: 2 Theory, 2 Practical Advanced study of bacterial infections, their clinical manifestations, and diagnostic techniques. Practical work focuses on identifying clinical isolates.
  2. SBM802 – Endocrinology Units: 3 | Hours/Week: 2 Theory, 2 Practical Study of the endocrine system, hormone functions, and disorders. Laboratory sessions include hormone assays and diagnostic techniques.
  3. SBM803 – Clinical Laboratory Techniques Units: 3 | Hours/Week: 2 Theory, 2 Practical Covers essential diagnostic techniques in clinical laboratories, including hematological, biochemical, and microbiological assays.
  4. SBM804 – Cytogenetics Units: 3 | Hours/Week: 2 Theory, 2 Practical Study of chromosome structure, function, and abnormalities. Practical work includes karyotyping and chromosome analysis techniques.
  5. SBM805 – Epidemiology Units: 3 | Hours/Week: 3 Theory Introduction to disease distribution, determinants, and prevention strategies. Focus on public health practices and data interpretation.
  6. SBM806 – Food Microbiology (Elective) Units: 3 | Hours/Week: 2 Theory, 2 Practical Study of microorganisms in food, food spoilage, and safety. Laboratory work includes food sample analysis and contamination detection.
  7. SBM807 – Research Project Units: 2 | Hours/Week: 2 Practical Continuation and completion of the independent research project, culminating in a written thesis and oral presentation.

Admissions

The Department of Computer Science and Information Technology at Salahaddin University-Erbil offers two study options to ensure accessibility and flexibility for prospective students:

 
  1. Zankoline (Government-Funded) Study
  • Description: This option provides free tuition for students who meet the eligibility criteria and are accepted through the general centralized admission system, known as "Zankoline."
  • Eligibility:
    • Applicants must meet the academic requirements as set by the Ministry of Higher Education and Scientific Research.
    • Selection is competitive and based on high school scores, particularly in scientific subjects such as mathematics and computer science.
  • Benefits:
    • Exemption from tuition fees.
    • Access to full university services and facilities, including labs, libraries, and extracurricular activities.
    • Opportunity to benefit from scholarships and other government-sponsored initiatives.
  1. Parallel Study (Self-Funded)
  • Description: This option allows students who do not secure a Zankoline seat to pursue their studies by paying a tuition fee.
  • Tuition Fee: 2,000,000 IQD per year.
  • Eligibility:
    • Students must meet the minimum academic requirements for admission to the Computer Science and Information Technology programs.
    • This option offers an opportunity for students who did not secure a government-funded seat to study while paying the tuition fee.
  • Benefits:
    • Access to the same high-quality education, resources, and facilities as Zankoline students.
    • Students can pursue their academic goals without being limited by centralized admission quotas, ensuring they receive the same academic and professional opportunities.
 

Admission Requirements for Both Tracks

  1. Academic Qualifications:
    • Completion of high school with a focus on the science track, specifically in subjects such as mathematics, computer science, physics, and information technology.
    • Minimum GPA as determined by the Ministry of Higher Education and Scientific Research.
  2. Application Process:
    1. Zankoline (Government-Funded)
      • Apply through the centralized admission system for Zankoline.
      • Submit required documents, including high school transcripts, national ID, and other certificates as per the application guidelines.
    2. Parallel Study (Self-Funded)
      • Apply directly to the Department of Computer Science and Information Technology for parallel study.
      • Submit required documents, including high school transcripts, identification, and relevant certificates, along with the tuition fee payment details.

Graduate Employability

The Department of Computer Science and Information Technology at Salahaddin University-Erbil is dedicated to ensuring that graduates at all levels—Bachelor’s, Master’s, and Doctorate—are equipped with the knowledge, technical skills, and experiences needed to succeed across a variety of career fields. Our programs emphasize academic excellence, real-world applicability, and the development of strong professional competencies, enabling graduates to excel in both industry and academia.

  1. Bachelor of Science (B.Sc.) in Computer Science and Information Technology

    2. Graduates of the B.Sc. program are equipped with foundational knowledge in computer science, programming, data structures, networking, and security. They are well-prepared for a broad range of roles in both the private and public sectors.

    Career Paths:
    • Software Development:Designing, developing, and maintaining applications, websites, and systems.
    • IT Support and Administration: Managing networks, hardware, and system infrastructures for businesses.
    • Cybersecurity:Working to protect organizational systems and data from security breaches and cyber threats.
    • Data Science and Analytics: Analyzing and interpreting data to drive business decisions.
    • Web Development: Building and maintaining websites, web applications, and databases.
    • Embedded Systems and Robotics: Developing and implementing embedded systems and robotics technologies.
    • Education and Training: Teaching IT-related subjects at secondary schools or private training centers.
    • Government and NGOs: Contributing to public sector IT projects, including e-government and cybersecurity initiatives.
    Skills for Employability:
    • Programming expertise across multiple languages (e.g., Python, Java, C++).
    • Proficiency in database management, web technologies, and network administration.
    • Strong problem-solving, analytical, and critical thinking abilities.
    • Effective communication skills for working in teams and conveying technical information.
  2. Master of Science (M.Sc.) in Computer Science and Information Technology

    3. M.Sc. graduates possess advanced expertise and a strong research foundation in areas like artificial intelligence, machine learning, cybersecurity, and software engineering. They are sought after for leadership roles in technology and research-driven sectors.

    Career Paths:
    • Research and Development (R&D):Conducting applied or theoretical research in computer science fields like AI, cybersecurity, and big data.
    • Software Engineering and Design: Leading software development projects and architecting complex systems.
    • Artificial Intelligence and Machine Learning:Applying AI techniques to real-world challenges in business, healthcare, and industry.
    • Cybersecurity Specialist: Leading efforts in risk management, ethical hacking, and the development of secure systems.
    • IT Project Management: Managing complex IT projects, ensuring that they are completed on time and within budget.
    • Consulting:Offering expert advice on IT infrastructure, cybersecurity, or software development to organizations.
    Skills for Employability:
    • Expertise in advanced programming and software design.
    • Advanced research, problem-solving, and data analysis capabilities.
    • Ability to work across interdisciplinary teams and manage large-scale projects.
    • Effective communication and leadership skills for managing teams and projects.
  3. Doctor of Philosophy (Ph.D.) in Computer Science and Information Technology

    4. Ph.D. graduates are recognized for their deep expertise in specialized areas of computer science and their ability to contribute new knowledge through original research. They are well-prepared to take on leadership roles in academia, research, and industry.

    Career Paths:
    • Academia:Professorships, research supervision, and curriculum development at universities and research institutes.
    • Industry Leadership: Senior roles in technology companies, overseeing R&D teams, and shaping technology strategy.
    • Research Institutions: Leading high-impact, cutting-edge projects that address complex societal and technological challenges.
    • Government and Policy: Shaping national and international IT policies, especially in areas like cybersecurity, data protection, and digital transformation.
    • Entrepreneurship: Founding or consulting for tech startups focused on innovative solutions in AI, cybersecurity, or software development.
    Skills for Employability:
    • Mastery of advanced research methodologies and techniques.
    • Ability to conduct independent, high-impact research and contribute to academic knowledge.
    • Expertise in solving complex, interdisciplinary problems and leading innovative projects.
    • Strategic thinking and leadership in guiding large-scale projects or organizations..
Research Papers:
  • Abdulazeez, A.M., Nahmatwlla, L.L. & Zeebaree, D.Q., 2020. Pipelined parallel processing implementation based on distributed memory systems. International Journal of Innovation, Creativity and Change, 13(7), pp.301–303.
  • Abdullah, T.H., (2024). Potato disease identification using transfer learning approaches. Mesopotamian J. Comput. Sci. 2024, 162–166. https://doi.org/10.58496/MJCSC/2024/013
  • Abdullah, T.H., Abdullah, B.H., (2024). Covid-19 Diagnosis using Deep Learning Approaches: A Systematic Review. Mesopotamian J. Artif. Intell. Healthc. 2024, 84–109. https://doi.org/10.58496/MJAIH/2024/012
  • Abdullah, T.H., Alizadeh, F., (2022). Patch-Wise Partial Face Recognition Using Convolutional Neural Network. Opt. Mem. Neural Netw. 31, 367–378. https://doi.org/10.3103/S1060992X22040087
  • Abdullah, T.H., Alizadeh, F., Abdullah, B.H., (2022). COVID-19 Diagnosis System using SimpNet Deep Model. Baghdad Sci. J. 19, 1078. https://doi.org/10.21123/bsj.2022.6074
  • Abdullah, T.H., Alizadeh, F., Abdullah, B.H., (2023). Automatic White Blood Cell Classification Using Convolutional Neural Network, in: 2023 IEEE World Conference on Applied Intelligence and Computing (AIC). Presented at the 2023 IEEE World Conference on Applied Intelligence and Computing (AIC), IEEE, Sonbhadra, India, pp. 740–745. https://doi.org/10.1109/AIC57670.2023.10263933
  • Abdulrahman, M.S., Koshnaw, R.B. and Al-Hakeem, M.S., 2017, April. SMS DISTRIBUTER BASED PATIENT APPOINTMENTS SYSTEM. In The 1 st International Conference on Information Technology (ICoIT'17) (p. 442).
  • Abdulrazaq, N.N. (2024) “A Novel Approach for Safeguarding Kurdish Text Files via Modified AES-OTP and Enhanced RSA Cryptosystem on Unreliable Networks”, EURASIAN JOURNAL OF SCIENCE AND ENGINEERING, 10(2), pp. 102–119. doi:10.23918/eajse.v10i2p8.
  • Ali B. O., Latif I. S. , Mohammed  L. J., and Sadraddin E. L. Innovative Numerical Updating Technique based on Interpolation for Solving Non-Linear Algebraic Functions(accepted at Basrah Journal of Science, 24/7/2025 ).
  • Ali, Ashna Sahdi, and Dler Salih Hasan. “An Iot-Based Smart Airport Check-in System via Three-Factor Authentication (3fa).” Zanco Journal of Pure and Applied Sciences 35 (2023): 1–13.
  • Ali, Md Nasir, TS Senthil, T Ilakkiya, Dler Salih Hasan, Ganapathy, and Sampath Boopathi. “IoT’s Role in Smart Manufacturing Transformation for Enhanced Household Product Quality,” 252–89. IGI Global, 2024.
  • Ali, S. D. (2025).The Impact of Artificial Intelligence –powered project-Based learning Methodology on Developing Computer Application Skills. Scientia .Technology, Science and Society , 2(8),1-18. http://doi.org/10.59324/stss.2025.2(8).01
  • Alizadeh, F., Abdullah, T.H., Abdullah, B.H., (2022). ECOVIDNET: Snapshot Ensembling Approach to Detect Coronavirus from Chest X-ray Images, in: 2022 International Conference on Computer Science and Software Engineering (CSASE). Presented at the 2022 International Conference on Computer Science and Software Engineering (CSASE), IEEE, Duhok, Iraq, pp. 107–112. https://doi.org/10.1109/CSASE51777.2022.9759803
  • Anwar, D. (2025). A novel CNN model for fruit leaf disease detection: A lightweight solution for grapes, figs, and oranges. Fusion: Practice and Applications, 19(2), 278–287. https://doi.org/10.54216/FPA.190220
  • Anwar, D. (2025). Real-time pain detection using facial action units in telehealth systems. Zanco Journal of Pure and Applied Sciences, 33(5), 31–42. https://doi.org/10.21271/ZJPAS.33.5.31
  • Anwar, S., Ali, S., Abdulla, D., Omekara, S. D., Mendiola, S., Wright, K., … (2023). Breast cancer radio genomics data generation using combined generative adversarial networks (GANs). In Proceedings of the International Conference on Intelligent Systems and Pattern Recognition (pp. 106–119).
  • Anwar, S., Anwar, D., & Abdulla, S. (2020). Security evaluation of Android mobile healthcare and fitness applications. In 2020 International Conference on Electrical, Communication, and Computer Engineering (ICECCE) (pp. 1–6). IEEE. https://doi.org/10.1109/ICECCE49384.2020.9179431
  • Asaad, A.; Ali, D.; Majeed, T.; Rashid, R. “Persistent Homology for Breast Tumor Classification Using Mammogram Scans“. Mathematics 2022, 10, 4039. https://doi.org/10.3390/math10214039.
  • Aziz, S. B., Erbil, I. K. R. G., & Anwer, D. A. (Year). Comparative study for color edge detection using vector value, YCbCr color space, and least square numerical method. In Proceedings of the Conference of Cihan University-Erbil on Communication Engineering and [2017] (pp. 24-29). Cihan University-Erbil.
  • Aziz, S.B. & Shahed, M.A., 2009. Improved smoothing filters effects using Mamdani neuro fuzzy network. Arab Gulf Journal of Scientific Research, 27(3), pp.156–167.
  • Aziz, S.B. & Shahed, M.A., 2010. Impulsive and Poisson noises removal using Takagi neuro-fuzzy network. Scientific Journal of King Faisal University (Basic and Applied Sciences), 11(1), p.1431.
  • Aziz, S.B., 2011. Thyroid disease diagnosis using genetic algorithm and neural network. Journal of Al-Qadisiyah for Computer Science and Mathematics, 3(2), pp.1–13.
  • Aziz, S.B., Abdul-Wahed, S. & Abdul-Kareem, M., 2012. A faster training algorithm and genetic algorithm to recognize some of Arabic phonemes. College of Education Journal, 2(1).
  • Aziz, S.B., Younis, A.-K. & Abdalla, T.Y., 2010. Impulsive noise removal based on neural network schemes. Basrah Journal for Engineering Sciences, 10(2).
  • Aziz, S.B., Younis, A.-K. & Abdalla, T.Y., 2012. NeuroFuzzy network schemes for impulsive noise reduction in digital images. International Journal of Computer Applications, 49(21).
  • Bhukya, Raghuram, M Sangeetha, Dler Salih Hasan, L Raja, and Abdul Hannan. “Integrated Machine Learning Approach for Healthcare Disabilities Tracing and Detection: Applied Intelligent Techniques,” 235–61. IGI Global, 2023.
  • Bhupal, Raj G, Deepak Kholiya, Raja R Vinston, Dler Salih Hasan, Navdeep Singh, Atish Mane, and Liviu Rosca. “Using IoT and Machine Learning Together for Agricultural Predictive Maintenance,” 58–62. CRC Press, 2025.
  • Chaudhary, Jitendra Kumar, Balakrishnan S, Dhiraj Kapila, Dler Salih Hasan, Mohammad Shafeeq, and Vishwakarma Sunil Kumar. “A Novel Credit Card Fraud Detection Feature Selection System Using Machine Learning,” 1–5, 2023.
  • Gift, MD Mohan, TS Senthil, Dler Salih Hasan, K Alagarraja, P Jayaseelan, and Sampath Boopathi. “Additive Manufacturing and 3D Printing Innovations: Revolutionizing Industry 5.0,” 255–87. IGI Global, 2024.
  • Gosain, Kritika, Dler Salih Hasan, and Silvia A Juliet. “Effective Teaching Strategies for Student Engagement in Online Education: A Meta-Analysis.” Journal of Harbin Engineering University 44 (2023).
  • Gupta, Rajeev Kumar, Arti Jain, John Wang, Bharti Santosh Kumar, and Samir Patel. “Artificial Intelligence Tools and Technologies for Smart Farming and Agriculture Practices.” IGI Global, 2023.
  • Hamad ZH, Majeed TF. Lung Region Segmentation Using Modified U-Net Architecture. EURASIAN JOURNAL OF SCIENCE AND ENGINEERING. 2022 Dec 20;8(3):25-38.
  • Hamsheen, E. S. (2023). Improvement performance by using Machine Learning algorithms for fake news detection. ZANCO Journal of Pure and Applied Sciences, 35, 48–57.
  • Hangaw Qader Omar, Saven Hasan Rasool, (March 2023), Tourist Attraction Recommendation System Employing IoT and Artificial Intelligence, Journal Of The Iraqia University, Volume 58 Issue 3, Pages 595-602
  • Hasan, Dler Salih, and Ibrahim Hamarash. “Calculation of Angular Velocity, Angular Acceleration and Torque of Two Common Point Rigid Bodies Using IMU.” Journal of Applied and Physical Sciences 3 (2017): 58–64.
  • Hasan, Dler Salih, and Ibrahim Hamarash. “Real Time Data Acquire from Multiple Accelerometers and IMU to Calculate 3-Direction Angles and Relative Orientation.” ZANCO Journal of Pure and Applied Sciences 29 (2017).
  • Hasan, Dler Salih, Bhasker Pant, Yogendra Kumar, ALN Rao, Yograj Singh, and Amit Srivastava. “Microrobot for Elderly Care Using Advance AI Technology.” In Https://Doi.org/10.1109/AIC57670.2023.10263815, 148–54, 2023.
  • Hasan, Dler Salih, Crane III, and Hamarash, Ibrahim Isamel. “Using Inertia Sensors for Orientation Estimation of Robot Manipulators.” ZANCO Journal of Pure and Applied Sciences 31 (2019): 318–23.
  • Hasan, Dler Salih, D Srinivasan, Aswal Upendra Singh, Yogendra Kumar, Aln Rao, and Yograj Singh. “Perception Sensors Based Fusion System and Method for Controlling Vehicle.” In IEEE, 750–55, 2023.
  • Hasan, Dler Salih. “Accurate Estimation of Robotic Arm Movements for Effective Motion Control: Utilizing Multiple Sensors and Data Fusion.” Zanco Journal of Pure and Applied Sciences 36 (2024): 1–11.
  • Hussein, A. R., & Rashid, R. D. (2022, October). KurdFace Morph Dataset Creation Using OpenCV. In Science Journal of University of Zakho (SJUOZ), 10(4), 258-267.
  • Karthick, L, L Vadivukarasi, Dler Salih Hasan, L Nagarajan, and R Aarthi. “Advanced Electronic Healthcare Application Using Mechanical Renewable Energy for Long-Term Population,” 278–94. IGI Global, 2024.
  • Khoshnaw, R.B., 2017, March. A comparative analysis between low and high level HoneyPots. In Conference of Cihan University-Erbil on Communication Engineering and Computer Science (p. 19).
  • Khoshnaw, R.B., Doghramachi, D.F. and Al-Hakeem, M.S., 2017. A Review on Internet of Things’ Operating Systems, Platforms and Applications.
  • Khudhur, A.S. and Abdullah, A.I., 2022. Smart COVID-19 Prediction System Using Neural Network. Zanco Journal of Pure and Applied Sciences, 34(5), pp.42-49.
  • Kousar, Heena, DDSH Sundara, and Vuyyuru, DDAM Tejaswi. “Integrating Artificial Intelligence and Blockchain Technology for Secure and Efficient Data Sharing.” Journal of Survey in Fisheries Sciences 10 (2023): 5900–5911.
  • Kumar, Koshariya Ashok, D Kalaiyarasi, Jovith A Arokiaraj, T Sivakami, Dler Salih Hasan, and Sampath Boopathi. “Ai-Enabled Iot and Wsn-Integrated Smart Agriculture System,” 200–218. IGI global, 2023.
  • Laith R Flaih Saven Hasan Rasool, (Jun 2024), Using Deep Learning in Image Classification, 5 th International Conference on Communication Engineering and Computer Science (CIC-COCOS’2024),
  • Latif S. I., and  Mohammed L.  J. (2014). Method with inexact line search. Journal of Zankoy Sulaimani-Part A, vol.16(2), 17-26.
  • Mitras, B. A., & Anwar, D. A. (2019). Using hybrid PSO algorithm with modified conjugate gradient method for some image processing. AIP Conference Proceedings, 2096(1), Article 020003.
  • Mitras, B., & Abdullah, D. (2009). Enhance fingerprint image by using genetic algorithms. AL-Rafidain Journal of Computer Sciences and Mathematics, 6, 57–73.
  • Mohammed L. J., and Latif I. S. (2022).  An Accelerated Three Term Efficient Algorithm for Numerical Optimization. Journal of University of Babylon for Pure and Applied Sciences, Vol 30(4), 103-115,
  • Mohammed, B. G., & Hasan, D. S. (2023). Smart Healthcare Monitoring System Using IoT. International Journal of Interactive Mobile Technologies (iJIM), 17(01), pp. 141–152. https://doi.org/10.3991/ijim.v17i01.34675
  • Mohammed, Bzhar Ghafour, and Dler Salih Hasan. “Smart Healthcare Monitoring System Using IoT.” Int. J. Interact. Mob. Technol. 17 (2023): 141–52.
  • Mohammed, E. S. H. A. G. (2022). Evolution of automated learning techniques for combating COVID-19: An analysis. Indonesian Journal of Electrical Engineering and Computer Science, 27(3), IEEE.
  • Mustafa, I.S., Nahmatwlla, L.L. & Ahmed, W.A., 2023. Role of AI and machine learning based on principles of web technology and cloud computing. Journal of Biomechanical Science and Engineering, pp.117–120
  • Mustafa, I.S., Nahmatwlla, L.L., Ahmed, W.A. & Balaji, S.B., 2023. Virtual reality roles in the society using web technology and distributed systems. Journal of Biomechanical Science and Engineering, pp.74–76.
  • Mustafa, I.S., Nahmatwlla, L.L., Ahmed, W.A. & Saeed, R.H., 2023. Deep learning effects on IoT applications via cloud computing and distributed systems. Journal of Biomechanical Science and Engineering, pp.95–100.
  • N. Abdulrazaq and T. M. Qaradaghi, “Cryptosystem based on error correcting codes,” ZANCO Journal of Pure and Applied Sciences, vol. 28, issue 2, pp. 99-109, 2016.
  • Newroz Nooralddin Abdulrazaq (2024) “Generating of A Dynamic and Secure S-Box for AES Block Cipher System Based on Modified Hexadecimal Playfair Cipher”, Zanco Journal of Pure and Applied Sciences, 36(5), pp. 82–94. doi: 10.21271/ZJPAS.36.5.8.
  • Newroz, N.A. and Thuraya, M.Q. (2016) “Evaluation Study of Original McEliece Cryptosystem Against Side Channel Attack.,” Sulaimani Journal for Pure and Applied Sciences, 18(4), pp. 231–240. doi:10.17656/jzs.10579.
  • Qaradaghi, T., Abdulrazaq, N. "Comparison between Separable and Irreducible Goppa Code in McEliece Cryptosystem", World Academy of Science, Engineering and Technology, International Science Index 106, International Journal of Computer, Electrical, Automation, Control and Information Engineering, Vol. 9, No. 10, pp 1717 - 1723. ( 2015).
  • Rasber Dh. Rashid and Taban F. Majeed, "Edge Based Image Steganography: Problems and Solution", IEEE 2019 International Conference on Communications, Signal Processing, and their Applications (ICCSPA), Sharjah, United Arab Emirates, 19-21 March 2019.
  • Rasber Dh. Rashid, Ladeh S. Abdulrahman, Taban F. MAjeed, " Multi-Edge Concept used for Image Steganography", Innovaciencia. 2019; 7 (1): 1-12. http://dx.doi.org/10.15649/2346075X.517.
  • Ravisankar, A, Akshay Kulkarni, Takore, Tamirat Tagesse, Dler Salih Hasan, Kamepalli Dharani, and Naganjaneyulu K Venkata. “Using Natural Language Processing and the Internet of Things for Employee Performance Evaluation,” 383–96. IGI Global Scientific Publishing, 2025.
  • Rebin Saleh and Bal´azs Vill´anyi, ”Harnessing IIoT and Industry 4.0 Paradigms for Advanced Energy Consumption Forecasting using Ensemble Learning Techniques,” 2025 IEEE 23rd World Symposium on Applied Machine Intelligence and Informatics (SAMI), Star´a Lesn´a, Slovakia, 2025, pp. 000441-000446, doi: 10.1109/SAMI63904.2025.10883313.
  • Salih, Hasanc Dler, Husseinb Nazhad Ahmad, and Sara SerwerYouns. “Kinematic Workspace Modelling of Two Links Robotic Manipulator.” Anbar Journal of Engineering Sciences 11 (2020): 19–24.
  • Sallow, A. B., & Shaikha, H. K. (2019). Optical Disc and Blood Vessel Segmentation in Retinal Fundus Images. Academic Journal of Nawroz University, 8(3), 67-75.
  • Satav, Sandip D, Dler Salih Hasan, R Pitchai, TA Mohanaprakash, SJ Sultanuddin, and Sampath Boopathi. “Next Generation of Internet of Things (Ngiot) in Healthcare Systems,” 307–30. IGI Global, 2023.
  • Saven Hasan Rasool, Hangaw Qader Omar, Ferman Ibrahim Kareem (March 2023), Optimizing RIP Routing System using Artificial Neural Network, Journal Of The Iraqia University Volume 58, Issue 3, Pages 586-593
  • Shaik, Nazeer, Jagendra Singh, Ankur Gupta, Dler Salih Hasan, N Manikandan, and Chandan Radha Raman. “Anticipating Graduate Program Admission through Implementation of Deep Learning Models.” In Springer Nature Singapore, 555–65, 2024.
  • Shaikha, H. K., & Abduallah, W. M. (2017). A Review of Intrusion Detection Systems. Academic Journal of Nawroz University, 6(3), 101-105.
  • Shaikha, H. K., & Sallow, A. B. (2017). Mobile Cloud Computing: A Review. Academic Journal of Nawroz University, 6(3), 129-134.
  • Shaikha, H. K., & Sallow, A. B. (2019, April). Optic disc detection and segmentation in retinal fundus image. In 2019 International Conference on Advanced Science and Engineering (ICOASE) (pp. 23-28). IEEE.
  • Sharma, Meenakshi, B Latha, Ankur Gupta, Dler Salih Hasan, C Rajan, and Madhu Munagala. “IoT-Embedded Deep Learning Model for Real-Time Remote Health Monitoring and Early Identification of Diseases.” In IEEE, 655–61, 2023.
  • Sharma, Preeti, Dler Salih Hasan, T Marthandan, Jagendra Singh, Shweta Chaku, and Mohit Tiwari. “Deep Learning-Based Intrusion Detection System for Internet of Things Networks for Enhancing Security against Cyber Attacks.” In Springer Nature Singapore, 685–99, 2024.
  • Shastri, Dhiresh S, Narhar K Patil, Dler Salih Hasan, Nikumbh, Tushar S, and Naresh Babanrao Chaudhari. “Assistive Robotics and Synthetic Biology in Medical Applications,” 42–67. IGI Global, 2023.
  • Siddeq, M. M., & Anwar, D. A. (Year). Using perceptron neural network and genetic algorithm for image compression and decompression. Journal of Al‑Qadisiya for Computer Science and Mathematics, 3(1), 290–296.
  • Singh, Jagendra, Mala Saraswat, Kamal Upreti, Gaurav Agrawal, Dler Salih Hasan, and Nazeer Shaik. “IoT-Powered Health Monitoring System for Protecting Vital Organs through Cloud-Based Diagnosis.” In Springer Nature Singapore, 169–81, 2025.
  • Singh, Jagendra, Navneet Pratap Singh, Dler Salih Hasan, Shelke, Nitin Arvind, Arpit Namdev, and Nancy Girdhar. “An Integrated Machine Learning and IoT Based Approach for Enhanced Healthcare Efficiency and Personalized Treatment.” In Springer Nature Switzerland Cham, 143–53, 2023.
  • Singh, Jagendra, Navneet Pratap Singh, Dler Salih Hasan, Shelke1, Nitin Arvind, Arpit Namdev, and Nancy Girdhar. “An Integrated Machine Learning and IoT Based.” Intelligent Systems Design and Applications: Smart Healthcare, Volume 1 1 (2024): 143.
  • Singh, Jagendra, P Neeraj, Dler Salih Hasan, Alsahlanee Abbas, and Nazeer Shaik. “IoT-Enabled Automated Smart Irrigation System Incorporating Sensor Parameters.” In Springer Nature, 33, 2024.
  • Singh, Jagendra, Shelke, Nitin Arvind, Dler Salih Hasan, Mohammad Sajid, Alsahlanee Abbas, and Kamal Upreti. “Enhanced Learning in IoT-Based Intelligent Plant Irrigation System for Optimal Growth and Water Management.” In Springer Nature Switzerland Cham, 231–40, 2023.
  • Taban F. Majeed, Naseer Al-Jawad and Harin Sellahewa, “Breast Border Extraction and Pectoral Muscle Removal in MLO Mammogram Images”, Fifth Computer Science and Electronic Engineering Conference (CEEC 2013), September 17-18, 2013, University of Essex, Colchester, United Kingdom.
  • Taban Majeed, Rasber Rashid, Dashti Ali, and Aras Asaad, “Issues associated with deploying CNN transfer learning to detect COVID‑19 from chest X‑rays”, Physical and Engineering Sciences in Medicine Journal, October, 2020.
  • Tyagi, Neha, Jitender Mittal, Dler Salih Hasan, Sunil Bajeja, and Shashidhar Sonnad. “Future Innovations Using Edge Computing Infrastructure in IoT Applications.” Advances in AI for Cloud, Edge, and Mobile Computing Applications. CRC Press, 2025.
  • Uma, Maheswari B, Imambi S Sagar, Dler Hasan, S Meenakshi, VG Pratheep, and Sampath Boopathi. “Internet of Things and Machine Learning-Integrated Smart Robotics,” 240–58. IGI Global, 2023.
  • Vadivukarasi, L, Babu L Ganesh, Dler Salih Hasan, Rajesh Sharma, Devi N Durga, and L Karthick. “Nurturing Trust in Human-Robot Interaction and the Crucial Role of Dialogue and Explicit AI,” 232–47. IGI Global, 2024.
  • Venkatesh, S, Kori S Prasad, P William, ML Meena, A Deepak, Hasan D Salih, and Anurag Shrivastava. “Data Reduction Techniques in Wireless Sensor Networks with Internet of Things.” International Journal of Intelligent Systems and Applications in Engineering 12 (2023): 81–92.
Theses and Dissertation Titles:
  • Abdullah, T.H., (2019). Patch-Wise Partial Face Recognition Using Convolutional Neural Network.
  • Abdulrazaq, N. N. (2005). Design a Programming System for Knapsack- Type Public Key Cryptosystem. (Higher Diploma Thesis)
  • Abdulrazaq, N. N. (2015). A Study and Implementation of Irreducible and Separable McEliece Cryptosystem (MSc. Thesis)
  • Ali,S.D.(2015).The effectiveness of a multimedia program in achieving and developing computer skills among tenth-grade female students in the computer subject.
  • Anwer, D. (2008). تحسين صورة بصمة الاصبع باستخدام الخوارزميات الجينية [Enhancing fingerprint images using genetic algorithms]. مجلة الرافدين لعلوم الحاسبات والرياضيات [AL-Rafidain Journal of Computer Sciences and Mathematics], 3, 57–73.
  • Aziz, S.B., 1999. Instruction systolic arrays for image processing problem and their performance. M.Sc. thesis, Basrah University, Basrah, Iraq.
  • Aziz, S.B., 2006. Image filtering based on soft computing techniques. Ph.D. thesis, Basrah University, Basrah, Iraq.
  • Hamsheen, E. S. (2023). Improved Kurdish Fake News Detection by using Machine Learning.
  • Hussein, A. R. (2022), Single Morph Attack Detection Using Machine Learning.
  • Hussein, S., (2016), dynamic improved complete ensemble empirical mode Decomposition
  • Khdhur,A.S.(2022).Automatic diagnosis COVID-19 System using Neural Network Models.
  • Mahmood, S. H. (2012). An Editor Assistant (A Conference Management System)
  • Mohammed, B. G  (2023), Smart Healthcare Monitoring System Using IoT
  • Mohammed, L.J. (2014). Global convergence of new modified CG method with inexact line search.
  • Nahmatwlla, L.L. & Abdulazeez, A.M., 2014. Pipelined parallel processing implementation based on distributed memory systems. Master's thesis. Salahaddin University-Erbil.
  • Refining Web Image Search Using Active Reranking Method (2011)
  • Safeen Hasan Rasool (2011), Knowledge base reasoning using artificial neural network.
  • Shaikha, H. K. (2019). Diabetic Retinopathy Detection in Retinal Colored Fundus Images.
  • Sulaiman, H. M. (2014). A web-2 based interface for recording ontologies within culture and heritage domain
  • Taban F. Majeed, "Segmentation, Super-resolution and Fusion for Digital Mammogram Classification". Doctoral thesis, University of Buckingham, (2016).
Sample Description
Sample Description
Sample Description

Academic Advising

The Department of Biology is dedicated to facilitating students' academic journeys by providing comprehensive academic advising services. These services guarantee that students receive the necessary support to achieve their educational and professional objectives while maintaining academic success.

Academic Advising Services

  1. Individualized Advising Sessions: Each student is assigned an academic advisor who provides personalized guidance specifically tailored to the student's interests, strengths, and career aspirations. Advisors also support the selection of courses, the development of academic pathways, and the resolution of educational challenges.
 
  1. Course Selection and Registration Support: Advisors assist students in selecting appropriate courses each semester to guarantee that they make rapid progress toward graduation. Registration assistance is offered to help students avoid scheduling conflicts and fulfill prerequisite requirements.
 
  1. Career Planning and Development: Academic advisors provide helpful advice concerning internships, postgraduate opportunities, and potential career paths. Graduate students may obtain guidance regarding their research interests, thesis topics, and program selection.
 
  1. Monitoring Academic Performance: Advisors evaluate student progress and offer assistance when academic obstacles arise. Students are assisted in maintaining their academic progress by implementing early intervention strategies, including tutoring recommendations and study skill seminars.
 
  1. Workshops and Seminars: Workshops are conducted regularly to improve student success, including study skills, time management, research techniques, and career development. Advisors may also arrange seminars involving guest speakers from academia, industry, and healthcare to provide students with an understanding of real-world applications of biology.
 
  1. Mentorship Programs: Senior students and alumni may assist in mentoring junior students, sharing their experiences and advice to help with academic and career decisions.

Internship Opportunities

The Department of Biology promotes professional development and practical experience by providing extensive internship opportunities. These internships allow students to gain sensible expertise in real-world environments, thereby bridging the gap between classroom learning and professional practice.

Benefits of Internships

  • Practical Skill Development: Internships allow students to apply theoretical knowledge in real-world contexts, honing their laboratory, research, and technical skills.
  • Career Exploration: Students gain insights into potential career paths, helping them make informed decisions about their professional futures.
  • Professional Networking: Internships help students connect with industry professionals, researchers, and potential employers.
  • Enhanced Employability: Work experience makes graduates more competitive in the job market, demonstrating their readiness for professional roles.
  • Academic Credit: In some cases, internships can be counted toward academic credit, enhancing the learning experience.
  Types of internship opportunities
  1. Healthcare and Medical Laboratories: Students can intern at hospital laboratories, diagnostic clinics, and medical research centers, acquiring experience in clinical research, pathology, and medical testing. The internships focus on immunology, clinical chemistry, microbiology, and hematology.
  2. Research Institutions: Opportunities are available in private laboratories, government research centers, and university-affiliated research laboratories. Students can participate in biotechnology, molecular biology, genetics, and epigenetics initiatives.
  3. Environmental Agencies: Internships with governmental agencies and environmental organizations offer practical experience in conservation biology, ecological monitoring, and ecology. It is feasible for students to engage in environmental assessments, data collection, and fieldwork.
  4. Biotechnology and Pharmaceutical Companies: Quality control, drug development, and biotechnological research are among the various skills that internships in pharmaceutical and biotechnological industries provide.
  5. Food Safety and Quality Control Centers: Students can work in food laboratories and quality assurance departments, focusing on food microbiology, safety testing, and regulatory compliance.
  6. Public Health Organizations: Internships with public health agencies and NGOs allow students to engage in disease prevention programs, epidemiology, and health awareness campaigns.
  7. Educational Institutions: Teaching assistantships in schools and universities provide opportunities for students interested in science education and outreach.
 

How to Apply for Internships

  • Advising Support: Academic advisors help students identify suitable internships based on their interests and career goals.
  • Department Partnerships: The Department of Biology collaborates with various institutions and organizations to secure student internship placements.
  • Application Process: Students typically submit a resume, cover letter, and academic transcripts to the host institution. Some internships may require an interview or skills assessment.
  • Timing: Internships are usually offered during summer breaks or as part of the final-year curriculum.

Career Services

The Department of Biology is dedicated to providing comprehensive career services to assist students in their professional development. These services are intended to assist students in pursuing their career objectives, regardless of whether they intend to pursue graduate studies, enroll in the workforce, or investigate entrepreneurial opportunities. Career services provide students with the skills, resources, and insights to navigate the job market effectively.

Key Career Services Offered

  1. Career counseling and advice: Students obtain personalized career counseling sessions to assist them in identifying their strengths, interests, and potential career paths in biology, biomedical sciences, healthcare, research, and related industry sectors. Advisors offer advice on postgraduate study opportunities, career planning, and job search strategies.
  2. Workshops and Seminars: The department performs workshops and seminars on various topics, including interview preparation, networking skills, job market trends, and resume and cover letter writing.
  3. These sessions help students build confidence and gain practical knowledge for the job search process.
  4. Job Placement Assistance: The department partners with local hospitals, laboratories, research institutions, biotechnology firms, and environmental agencies to promote the connection between students and potential employers. Support for employment placement encompasses the dissemination of job postings, apprenticeship opportunities, and recruitment events.
  5. Career Fairs and Networking Events: The annual career fairs allow students to network with potential employers, receive insight into various career paths, and investigate career possibilities. Alumni, industry professionals, and faculty members are allowed opportunities to establish professional relationships through interaction at networking events.
  6. Graduate School Guidance: Supporting students who intend to be enrolled in M.Sc. or Ph.D. programs in biological sciences, including research proposal development, personal statement composition, and graduate school applications. Information sessions regarding opportunities for higher education on a local and international scale.
  7. Entrepreneurship Support: Career services offer resources on business planning, funding opportunities, and innovation in biosciences to students interested in establishing their businesses—collaboration with university entrepreneurship programs and local business incubators.

Benefits of Career Services

  • Enhanced Employability: Students with strong resumes, interview skills, and professional connections are better prepared to enter the job market.
  • Tailored Guidance: Personalized advising ensures each student receives support that is aligned with their unique goals.
  • Industry insights: exposure to current trends and expectations in biology-related careers helps students stay competitive.
  • Confidence and Readiness: Practical training and resources build confidence in students’ ability to pursue their desired careers.
Sample Description
Sample Description
Sample Description
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