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)	Build up a body of knowledge in mathematics, science and Energy Systems Engineering subjects; use theoretical and applied information in these areas to model and solve complex engineering problems.
2)	Ability to identify, formulate, and solve complex Energy Systems Engineering problems; select and apply proper modeling and analysis methods for this purpose.
3)	Ability to design complex Energy systems, processes, devices or products under realistic constraints and conditions, in such a way as to meet the desired result; apply modern design methods for this purpose.
4)	Ability to devise, select, and use modern techniques and tools needed for solving complex problems in Energy Systems Engineering practice; employ information technologies effectively.
5)	Ability to design and conduct numerical or pysical experiments, collect data, analyze and interpret results for investigating the complex problems specific to Energy Systems Engineering.
6)	Ability to cooperate efficiently in intra-disciplinary and multi-disciplinary teams; and show self-reliance when working on Energy Systems-related problems
7)	Ability to communicate effectively in English and Turkish (if he/she is a Turkish citizen), both orally and in writing. Write and understand reports, prepare design and production reports, deliver effective presentations, give and receive clear and understandable instructions.
8)	Recognize the need for life-long learning; show ability to access information, to follow developments in science and technology, and to continuously educate oneself.	3
9)	Develop an awareness of professional and ethical responsibility, and behave accordingly. Be informed about the standards used in Energy Systems Engineering applications.
10)	Learn about business life practices such as project management, risk management, and change management; develop an awareness of entrepreneurship, innovation, and sustainable development.
11)	Acquire knowledge about the effects of practices of Energys Systems Engineering on health, environment, security in universal and social scope, and the contemporary problems of Energys Systems engineering; is aware of the legal consequences of Energys Systems engineering solutions.