ENERGY SYSTEMS ENGINEERING
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	Spring	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 :	Assist. Prof. TAMER UÇAR
Course Lecturer(s):	Prof. Dr. NAFİZ ARICA Assoc. Prof. 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. Teaching Methods and Techniques Used in the Course: Lecture, reading, individual study

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)	Adequate knowledge in mathematics and science.
2)	Adequate knowledge in subjects specific to Energy Systems Engineering.
3)	Ability to apply theoretical and practical knowledge in Energy Systems Engineering to complex engineering problems.
4)	Ability to identify, define, and formulate complex engineering problems.
5)	Ability to select and apply appropriate analysis and modeling methods for solving complex engineering problems.
6)	Ability to design a complex system, process, device, or product under realistic constraints and conditions to meet specific requirements; ability to apply modern design methods for this purpose.
7)	Ability to develop, select, and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in Energy Systems Engineering applications.
8)	Ability to use information technologies effectively.
9)	Ability to design experiments for investigating complex engineering problems or Energy Systems Engineering research topics.
10)	Ability to conduct experiments, collect data, analyze, and interpret results for investigating complex engineering problems or Energy Systems Engineering research topics.
11)	Ability to work effectively in intra-disciplinary teams.
12)	Ability to work effectively in multi-disciplinary teams.
13)	Ability to work individually.
14)	Ability to communicate effectively in oral and written forms.
15)	Knowledge of at least one foreign language.
16)	Ability to write effective reports and understand written reports, and to prepare design and production reports.
17)	Ability to make effective presentations, and to give and receive clear and understandable instructions.
18)	Awareness of the necessity of life-long learning.
19)	Ability to access information, follow developments in science and technology, and continuously renew oneself.
20)	Possession of professional and ethical responsibility and the ability to act in accordance with ethical principles.
21)	Knowledge of standards used in engineering applications.
22)	Knowledge of business practices such as project management, risk management, and change management.
23)	Awareness of entrepreneurship and innovation.
24)	Knowledge of sustainable development.
25)	Knowledge of the effects of engineering applications on health, environment, and safety in universal and social dimensions; and problems of the era reflected in the field of engineering.
26)	Awareness of the legal consequences of engineering solutions.