COURSE INFORMATION Course Title: C PROGRAMMING

Code	Course Type	Regular Semester	Theory	Practice	Lab	Credits	ECTS
CEN 110	A	2	3	0	2	4	7

Academic staff member responsible for the design of the course syllabus (name, surname, academic title/scientific degree, email address and signature)	NA
Lecturer (name, surname, academic title/scientific degree, email address and signature) and Office Hours:	Ali Osman Topal
Second Lecturer(s) (name, surname, academic title/scientific degree, email address and signature) and Office Hours:	Enea Mançellari
Teaching Assistant(s) and Office Hours:	NA
Language:	English
Compulsory/Elective:	Compulsory
Classroom and Meeting Time:
Course Description:	The course explains the use of structures, recursion, pointers, dynamic memory allocation, linked lists. Pre-Processors, building multiple files and command line arguments are also covered.
Course Objectives:

COURSE OUTLINE

Week	Topics
1	Course Introduction – Overview
2	Standard Functions, Inline Functions
3	2D Arrays and passing arrays to functions
4	Default Parameters, Templates and Function Overloading (Polymorphism))
5	Enumerations and Structures
6	Recursion
7	MIDTERM
8	Pointers
9	Linked Lists
10	Searching and Sorting
11	File Handling
12	Pre-processors, and building multiple files
13	Classes in C++ : A Deeper Look
14	Course Review

Prerequisite(s):	CEN 109 - Introduction to Algorithms and Programming
Textbook:	C ++ How to Program 7th Edition, DEITEL & DEITEL C Programming for the Absolute Beginner, 2nd Edition. MICHAEL VINE
Other References:
Laboratory Work:
Computer Usage:	YES
Others:	No

COURSE LEARNING OUTCOMES

1	Implementing and using C Functions
2	Implementing and using C structures, unions, and pointers.
3	implementing searching and sorting algorithms
4	Explicitly managing memory using pointers, to implement data structures such as linked lists, queues, stacks

COURSE CONTRIBUTION TO... PROGRAM COMPETENCIES (Blank : no contribution, 1: least contribution ... 5: highest contribution)

No	Program Competencies	Cont.
Bachelor in Computer Engineering (3 years) Program
1	Engineering graduates with sufficient theoretical and practical background for a successful profession and with application skills of fundamental scientific knowledge in the engineering practice.	5
2	Engineering graduates with skills and professional background in describing, formulating, modeling and analyzing the engineering problem, with a consideration for appropriate analytical solutions in all necessary situations	5
3	Engineering graduates with the necessary technical, academic and practical knowledge and application confidence in the design and assessment of machines or mechanical systems or industrial processes with considerations of productivity, feasibility and environmental and social aspects.	5
4	Engineering graduates with the practice of selecting and using appropriate technical and engineering tools in engineering problems, and ability of effective usage of information science technologies.	4
5	Ability of designing and conducting experiments, conduction data acquisition and analysis and making conclusions.	4
6	Ability of identifying the potential resources for information or knowledge regarding a given engineering issue.	4
7	The abilities and performance to participate multi-disciplinary groups together with the effective oral and official communication skills and personal confidence.	2
8	Ability for effective oral and official communication skills in foreign language.	1
9	Engineering graduates with motivation to life-long learning and having known significance of continuous education beyond undergraduate studies for science and technology.	3
10	Engineering graduates with well-structured responsibilities in profession and ethics.	2
11	Engineering graduates who are aware of the importance of safety and healthiness in the project management, workshop environment as well as related legal issues.	1
12	Consciousness for the results and effects of engineering solutions on the society and universe, awareness for the developmental considerations with contemporary problems of humanity.	1

COURSE EVALUATION METHOD

Method	Quantity	Percentage
Homework	2	5
Midterm Exam(s)	1	30
Laboratory	1	10
Lab/Practical Exams(s)	1	10
Final Exam	1	40
	Total Percent:	100%

ECTS (ALLOCATED BASED ON STUDENT WORKLOAD)

Activities	Quantity	Duration(Hours)	Total Workload(Hours)
Course Duration (Including the exam week: 16x Total course hours)	16	5	80
Hours for off-the-classroom study (Pre-study, practice)	16	2	32
Mid-terms	1	15	15
Assignments	4	3	12
Final examination	1	25	25
Other	1	11	11
Total Work Load:			175
Total Work Load/25(h):			7
ECTS Credit of the Course:			7