CEN111 Algorithms and Programming I

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

Information

Code CEN111
Name Algorithms and Programming I
Term 2023-2024 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
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Dr. Öğr. Üyesi Barış ATA
Course Instructor Dr. Öğr. Üyesi Barış ATA (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

Hanly, Jeri R., and Elliot B. Koffman. Problem solving and program design in C. Pearson, 2007

Notes

Deitel and Deitel, C: How to program. Pearson.


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Understand the general structure of programming languages
LO02 Obtain information about the functioning of computers
LO03 Identify the functioning of algorithms
LO04 Understand the concept of variables and program control structures
LO05 Understand functions and array concepts
LO06 Develop computer programs using basic concepts


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal Has capability in the fields of mathematics, science and computer that form the foundations of engineering 4
PLO02 Bilgi - Kuramsal, Olgusal Identifies, formulates, and solves engineering problems, selects and applies appropriate analytical methods and modeling techniques, 5
PLO03 Bilgi - Kuramsal, Olgusal Analyzes a system, its component, or process and designs under realistic constraints to meet the desired requirements,gains the ability to apply the methods of modern design accordingly. 3
PLO04 Bilgi - Kuramsal, Olgusal Ability to use modern techniques and tools necessary for engineering practice and information technologies effectively. 2
PLO05 Bilgi - Kuramsal, Olgusal Ability to design and to conduct experiments, to collect data, to analyze and to interpret results 2
PLO06 Bilgi - Kuramsal, Olgusal Has ability to work effectively as an individual and in multi-disciplinary teams, take sresponsibility and builds self-confidence 3
PLO07 Beceriler - Bilişsel, Uygulamalı Can access information,gains the ability to do resource research and uses information resources 3
PLO08 Beceriler - Bilişsel, Uygulamalı Awareness of the requirement of lifelong learning, to follow developments in science and technology and continuous self-renewal ability 4
PLO09 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Ability to communicate effectively orally and in writing, and to read and understand technical publications in at least one foreign language 4
PLO10 Yetkinlikler - Öğrenme Yetkinliği Professional and ethical responsibility, 1
PLO11 Yetkinlikler - Öğrenme Yetkinliği Awareness about project management, workplace practices, employee health, environmental and occupational safety, and the legal implications of engineering applications,
PLO12 Yetkinlikler - Öğrenme Yetkinliği Becomes aware of universal and social effects of engineering solutions and applications, entrepreneurship and innovation, and knowledge of contemporary issues


Week Plan

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


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: 09.05.2023 07:08