CEN111 Algorithms and Programming I

4 ECTS - 3-0 Duration (T+A)- 1. Semester- 3 National Credit

Information

Unit FACULTY OF ENGINEERING
COMPUTER ENGINEERING PR. (ENGLISH)
Code CEN111
Name Algorithms and Programming I
Term 2017-2018 Academic Year
Semester 1. Semester
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 4 ECTS
National Credit 3 National Credit
Teaching Language İngilizce
Level Lisans Dersi
Type Normal
Label C Compulsory
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Dr. Öğr. Üyesi Barış ATA
Course Instructor Dr. Öğr. Üyesi BUSE MELİS ÖZYILDIRIM (Güz) (A Group) (Ins. in Charge)


Course Goal / Objective

The aim of this course is to provide introduction to computer programming, to put forward the general concepts of programming, the concept of the algorithm and algorithm design, and introduction to structural programming

Course Content

Problem solving. Input-Operation-Output process. Analysis and design of algorithms. Definiteness, finiteness, effectiveness of algorithms. Algorithm Language. Contants, variables and expressions. Arithmetical, relational and logical operators. Input-Output statements. Conditional and iterative statements. Vector and matrix representations. String manipulations. Subroutines and Functions. Applications on a structural programming language

Course Precondition

Yok

Resources

Notes



Course Learning Outcomes

Order Course Learning Outcomes
LO01 1.Grasp the overall structure of programming languages,
LO02 2. Obtain information about the functioning of computers,
LO03 3 Identify and analyze the functioning of algorithms
LO04 4. Grasp the concept of variables and program control structures
LO05 5. To understand Functions and array concepts
LO06 To be able to implement all the knowledge gathered into programming.


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal Adequate knowledge of mathematics, science and related engineering disciplines; ability to use theoretical and applied knowledge in these fields in solving complex engineering problems. 5
PLO02 Bilgi - Kuramsal, Olgusal Ability to identify, formulate and solve complex engineering problems; ability to select and apply appropriate analysis and modeling methods for this purpose.
PLO03 Bilgi - Kuramsal, Olgusal Ability to design a complex system, process, device or product to meet specific requirements under realistic constraints and conditions; ability to apply modern design methods for this purpose.
PLO04 Bilgi - Kuramsal, Olgusal Ability to select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering practice; ability to use information technologies effectively.
PLO05 Bilgi - Kuramsal, Olgusal Ability to design and conduct experiments, collect data, analyze and interpret results to investigate complex engineering problems or discipline-specific research topics.
PLO06 Bilgi - Kuramsal, Olgusal Ability to work effectively in interdisciplinary and multidisciplinary teams; individual working skills.
PLO07 Bilgi - Kuramsal, Olgusal Ability to communicate effectively verbally and in writing; knowledge of at least one foreign language; ability to write effective reports and understand written reports, prepare design and production reports, make effective presentations, and give and receive clear and understandable instructions.
PLO08 Bilgi - Kuramsal, Olgusal Awareness of the necessity of lifelong learning; ability to access information, follow developments in science and technology, and constantly renew oneself.
PLO09 Bilgi - Kuramsal, Olgusal Knowledge of ethical principles, professional and ethical responsibility, and standards used in engineering practice.
PLO10 Bilgi - Kuramsal, Olgusal Knowledge of business practices such as project management, risk management and change management; awareness of entrepreneurship and innovation; knowledge of sustainable development.
PLO11 Bilgi - Kuramsal, Olgusal Knowledge of the effects of engineering practices on health, environment and safety in universal and social dimensions and the problems of the age reflected in the field of engineering; awareness of the legal consequences of engineering solutions.


Week Plan

Week Topic Preparation Methods
1 Basic Units of the Computer, Data Storage, Alphanumeric Values, Number Systems Reading the lecture notes
2 What is algorithm, Flow Chart Reading the lecture notes
3 Flow Chart-Continued Reading the lecture notes
4 Introduction to C Programming Language, History, C Language Basics Reading the lecture notes
5 General Features of the C Language, C Libraries, Keywords in C, Data Types, Variables Reading the lecture notes
6 Assignment, Operators, Constants, Data Type Conversion, Output Function Reading the lecture notes
7 Input Function, Math Library, Condition Statements, Question Mark Operator, the Switch Command Reading the lecture notes
8 Midterm Exam Reading the lecture notes
9 Loop Commands; While, Do While, For Loop Reading the lecture notes
10 Composite Assignment Operators, Increment and Decrement Operators, Break, Continue Reading the lecture notes
11 Function Description, Functions with/without Return Value, Multi-Parameter Functions Reading the lecture notes
12 Local and Global Variables, Static, Register Variables Reading the lecture notes
13 Arrays, Value Assignment,Reading Reading the lecture notes
14 Multi-Dimensional Arrays, Arrays and Functions Reading the lecture notes
15 Problem Solving Reading the lecture notes
16 Final Exam Reading the lecture notes
17 Final Exam Reading the lecture notes


Assessment (Exam) Methods and Criteria

Assessment Type Midterm / Year Impact End of Term / End of Year Impact
1. Midterm Exam 100 40
General Assessment
Midterm / Year Total 100 40
1. Final Exam - 60
Grand Total - 100


Student Workload - ECTS

Works Number Time (Hour) Workload (Hour)
Course Related Works
Class Time (Exam weeks are excluded) 14 3 42
Out of Class Study (Preliminary Work, Practice) 14 3 42
Assesment Related Works
Homeworks, Projects, Others 0 0 0
Mid-term Exams (Written, Oral, etc.) 1 7 7
Final Exam 1 18 18
Total Workload (Hour) 109
Total Workload / 25 (h) 4,36
ECTS 4 ECTS

Update Time: 29.04.2025 12:46