This is an introductory undergraduate course which surveys most areas of immunology. Immunology is the study of how higher organisms deal with infectious agents. The course is designed to provide a basic understanding of molecular mechanisms underlying the development of immune response. Topics will include molecular mechanisms of innate immunity, the structure of antibodies and T cell receptors, antigen- antibody interactions, the major histocompatibility complex, generation of diversity, antigen presentation, signaling through immune system receptors, the molecular basis of immune attack, immunological tolerance, and immune memory. There will be topics from medical or bench-side immunology in last few weeks, depends on the conditions and time availability.
Immunology (BIO 452)
| Programs\Type | Required | Core Elective | Area Elective |
| Electronics Engineering | * | ||
| Electronics Engineering | * | ||
| Materials Science and Nano Engineering | * | ||
| Materials Science and Nano Engineering (Previous Name: Materials Science and Engineering) | * | ||
| Microelectronics | * | ||
| Molecular Biology, Genetics and Bioengineering | * | ||
| Molecular Biology, Genetics and Bioengineering (Pre. Name: Biological Sciences and Bioengineering) | * | ||
| Telecommunications | * |
CONTENT
OBJECTIVE
To teach the history and modern molecular, cellular and organismal concepts of immunology so that each student can begin to think like an immunologist.
LEARNING OUTCOMES
- Understand the evolutionary principles controlling the development and function of the immune system
- Know the identity of different types of immune system cells, their functions and interactions
- Understand the molecular biological mechanisms controlling antibody generation, the mechanisms of somatic VDJ recombination and somatic hypermutation
- Differentiate between the function of the antibody isotypes produced by the mammalian immune system and the significance of the major histocompatibility complex
- Detail the signal transduction events that govern cellular communication in the immune system
- Understand the methods used in immunological research such as ELISA, Western blot, FLOW cytometry, bone marrow transplantation, mouse transgenesis and how to generate a knockout mouse.
PROGRAMME OUTCOMES
1. Understand the world, their country, their society, as well as themselves and have awareness of ethical problems, social rights, values and responsibility to the self and to others. 5
2. Understand different disciplines from natural and social sciences to mathematics and art, and develop interdisciplinary approaches in thinking and practice. 5
3. Think critically, follow innovations and developments in science and technology, demonstrate personal and organizational entrepreneurship and engage in life-long learning in various subjects; have the ability to continue to educate him/herself. 5
4. Communicate effectively in Turkish and English by oral, written, graphical and technological means. 5
5. Take individual and team responsibility, function effectively and respectively as an individual and a member or a leader of a team; and have the skills to work effectively in multi-disciplinary teams. 3
1. Possess sufficient knowledge of mathematics, science and program-specific engineering topics; use theoretical and applied knowledge of these areas in complex engineering problems. 3
2. Identify, define, formulate and solve complex engineering problems; choose and apply suitable analysis and modeling methods for this purpose. 2
3. Develop, choose and use modern techniques and tools that are needed for analysis and solution of complex problems faced in engineering applications; possess knowledge of standards used in engineering applications; use information technologies effectively. 2
4. Have the ability to design a complex system, process, instrument or a product under realistic constraints and conditions, with the goal of fulfilling specified needs; apply modern design techniques for this purpose. 1
5. Design and conduct experiments, collect data, analyze and interpret the results to investigate complex engineering problems or program-specific research areas. 3
6. Possess knowledge of business practices such as project management, risk management and change management; awareness on innovation; knowledge of sustainable development. 1
7. Possess knowledge of impact of engineering solutions in a global, economic, environmental, health and societal context; knowledge of contemporary issues; awareness on legal outcomes of engineering solutions; knowledge of behavior according to ethical principles, understanding of professional and ethical responsibility. 2
8. Have the ability to write effective reports and comprehend written reports, prepare design and production reports, make effective presentations, and give and receive clear and intelligible instructions. 1
1. Comprehend key concepts in biology and physiology, with emphasis on molecular genetics, biochemistry and molecular and cell biology as well as advanced mathematics and statistics. 5
2. Develop conceptual background for interfacing of biology with engineering for a professional awareness of contemporary biological research questions and the experimental and theoretical methods used to address them. 5
1. Use mathematics (including derivative and integral calculations, probability and statistics, differential equations, linear algebra, complex variables and discrete mathematics), basic sciences, computer and programming, and electronics engineering knowledge to (a) Design and analyze complex electronic circuits, instruments, software and electronics systems with hardware/software or (b) Design and analyze communication networks and systems, signal processing algorithms or software 1
1. Applying fundamental and advanced knowledge of natural sciences as well as engineering principles to develop and design new materials and establish the relation between internal structure and physical properties using experimental, computational and theoretical tools. 2
2. Merging the existing knowledge on physical properties, design limits and fabrication methods in materials selection for a particular application or to resolve material performance related problems. 2
3. Predicting and understanding the behavior of a material under use in a specific environment knowing the internal structure or vice versa. 2
Update Date:
ASSESSMENT METHODS and CRITERIA
| Percentage (%) | |
| Final | 50 |
| Midterm | 30 |
| Participation | 20 |
RECOMENDED or REQUIRED READINGS
| Textbook |
Janeway's Immunobiology |