MOLECULAR BIOLOGY AND GENETICS
Bachelor	TR-NQF-HE: Level 6	QF-EHEA: First Cycle	EQF-LLL: Level 6

Course Introduction and Application Information

Course Code	Course Name	Semester	Theoretical	Practical	Credit	ECTS
SEN2201	Computing Systems	Fall	3	0	3	6

This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester.

Basic information

Language of instruction:	English
Type of course:	Non-Departmental Elective
Course Level:	Bachelor’s Degree (First Cycle)
Mode of Delivery:	Face to face
Course Coordinator :	Dr. Öğr. Üyesi PINAR BÖLÜK
Course Lecturer(s):	Prof. Dr. NAFİZ ARICA Dr. Öğr. Üyesi PINAR BÖLÜK
Recommended Optional Program Components:	None
Course Objectives:	Course objective is defining bits, data types, and operations, digital logic structures, the Von Neumann model, programming, assembly language, I/O, trap routines and subroutines, the stack, introduction to programming in C, variables and operators, control structures, functions, testing and debugging, pointers and arrays, recursion, I/O in C, data structures.

Learning Outcomes

The students who have succeeded in this course;
1. Define basics of computational devices
2. Define bits, data types and operations
3. Define logic gates, combinational logic circuits, concept of memory, sequential logic circuits.
4. Define memory organization, registers, instruction set, data types, addressing modes.
5. Use variables, operators, control structures, iteration structures, pointers and array and functions in C programming language

Course Content

The course content is composed of the basics of computer systems, bits, data types and operations, digital logic structures (logic gates, combinational logic circuits, concept of memory, sequential logic circuits), the von Neumann model,
memory organization and registers, instruction sets, addressing models, Assembly language, Programming in C.

Weekly Detailed Course Contents

Week	Subject	Related Preparation
1)	Introduction to a Computer System
2)	Bits, Data Types, and Operations
3)	Digital Logic Structures (logic gates, combinational logic circuits)
4)	Digital Logic Structures (concept of memory, sequential logic circuits)
5)	The von Neumann Model (instruction processing)
6)	The von Neumann Model (I/O basics)
7)	ISA Overview (Memory organization and registers)
8)	ISA Overview (Memory organization and registers)
9)	Review for the Midterm Exam
10)	Assembly Language
11)	Programming in C
12)	Programming in C
13)	Programming in C
14)	Programming in C

Sources

Course Notes / Textbooks:	Patt & Patel, Introduction to Computing Systems (2nd edition), MGraw Hill, 2004. ISBN 0-07-121503-4 (required) Mano & Kime, Logic and Computer Design Fundamentals (3rd edition), Prentice Hall, 2004. ISBN 013140539X (recommended)
References:	Yok

Evaluation System

Semester Requirements	Number of Activities	Level of Contribution
Quizzes	10	% 20
Midterms	1	% 35
Final	1	% 45
Total		% 100
PERCENTAGE OF SEMESTER WORK		% 55
PERCENTAGE OF FINAL WORK		% 45
Total		% 100

ECTS / Workload Table

Activities	Number of Activities	Duration (Hours)	Workload
Course Hours	14	3	42
Study Hours Out of Class	5	10	50
Midterms	1	26	26
Final	1	20	20
Total Workload			138

Contribution of Learning Outcomes to Programme Outcomes

No Effect	1 Lowest	2 Low	3 Average	4 High	5 Highest

	Program Outcomes	Level of Contribution
1)	Utilize the wealth of information stored in computer databases to answer basic biological questions and solve problems such as diagnosis and treatment of diseases.	3
2)	Acquire an ability to compile and analyze biological information, clearly present and discuss the conclusions, the inferred knowledge and the arguments behind them both in oral and written format.	4
3)	Develop critical, creative and analytical thinking skills.	5
4)	Develop effective communication skills and have competence in scientific speaking, reading and writing abilities in English and Turkish.	3
5)	Gain knowledge of different techniques and methods used in genetics and acquire the relevant laboratory skills.	4
6)	Detect biological problems, learn to make hypothesis and solve the hypothesis by using variety of experimental and observational methods.	4
7)	Gain knowledge of methods for collecting quantitative and qualitative data and obtain the related skills.	3
8)	Conduct research through paying attention to ethics, human values and rights. Pay special attention to confidentiality of information while working with human subjects.	5
9)	Obtain basic concepts used in theory and practices of molecular biology and genetics and establish associations between them.	4
10)	Search and use literature to improve himself/herself and follow recent developments in science and technology.	5
11)	Be aware of the national and international problems in the field and search for solutions.	4