SOFTWARE 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	Fall	3	0	3	6

Basic information

Language of instruction:	English
Type of course:	Must Course
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)	Be able to specify functional and non-functional attributes of software projects, processes and products.	3
2)	Be able to design software architecture, components, interfaces and subcomponents of a system for complex engineering problems.	5
3)	Be able to develop a complex software system with in terms of code development, verification, testing and debugging.	5
4)	Be able to verify software by testing its program behavior through expected results for a complex engineering problem.	4
5)	Be able to maintain a complex software system due to working environment changes, new user demands and software errors that occur during operation.	1
6)	Be able to monitor and control changes in the complex software system, to integrate the software with other systems, and to plan and manage new releases systematically.
7)	Be able to identify, evaluate, measure, manage and apply complex software system life cycle processes in software development by working within and interdisciplinary teams.	1
8)	Be able to use various tools and methods to collect software requirements, design, develop, test and maintain software under realistic constraints and conditions in complex engineering problems.	1
9)	Be able to define basic quality metrics, apply software life cycle processes, measure software quality, identify quality model characteristics, apply standards and be able to use them to analyze, design, develop, verify and test complex software system.	3
10)	Be able to gain technical information about other disciplines such as sustainable development that have common boundaries with software engineering such as mathematics, science, computer engineering, industrial engineering, systems engineering, economics, management and be able to create innovative ideas in entrepreneurship activities.	5
11)	Be able to grasp software engineering culture and concept of ethics and have the basic information of applying them in the software engineering and learn and successfully apply necessary technical skills through professional life.
12)	Be able to write active reports using foreign languages and Turkish, understand written reports, prepare design and production reports, make effective presentations, give clear and understandable instructions.
13)	Be able to have knowledge about the effects of engineering applications on health, environment and security in universal and societal dimensions and the problems of engineering in the era and the legal consequences of engineering solutions.