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Programme Information

Faculty Of Engıneerıng
Electrıcal And Electronıcs Engıneerıng (Englısh) General Information Administration Programme Outcomes Academic Staff Curriculum 1st Year 2nd Year 3rd Year 4th Year Degree Programmes Toros University Information Package Bologna Process Action Plan Toros University

Faculty Of Engıneerıng
Electrıcal And Electronıcs Engıneerıng (Englısh)

Course Information

INTRODUCTION TO PROGRAMMING
Code Semester Theoretical Practice National Credit ECTS Credit
Hour / Week
CSE103 Fall 2 2 3 4

Prerequisites and co-requisites
Language of instruction English
Type Required
Level of Course Bachelor's
Lecturer Asst. Prof. Omid SHARIFI
Mode of Delivery Face to Face
Suggested Subject
Professional practise ( internship ) None
Objectives of the Course Students will be able to understand the Fundamentals of Computer usage and improve Microsoft Office programs (Word, PowerPoint,Excel) and Internet usage effectively.
Contents of the Course The course introduces the art of programming in small steps, starting from clearly structuring the required data. Typed functions, conditional expressions, and repetition (recursion) are introduced alongside as the basic methods to operate on this structured data. A key aim is to illustrate the interdependancy of algorithms and data structures - significantly, that data structures largely determine algorithms, for example, that products are processed by projections, unions by alternatives, and that recursive data structures such as lists are processed by recursive algorithms.

Learning Outcomes of Course

# Learning Outcomes
1 Adequate knowledge in mathematics, science and engineering subjects pertaining to the relevant discipline; ability to use theoretical and applied information in these areas to model and solve engineering problems.
2 Ability to identify, formulate, and solve complex engineering problems; ability to select and apply proper analysis and modeling methods for this purpose.
3 Ability to design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the desired result; ability to apply modern design methods for this purpose. (Realistic constraints and conditions may include factors such as economic and environmental issues, sustainability, manufacturability, ethics, health, safety issues, and social and political issues, according to the nature of the design.)
4 Ability to devise, select, and use modern techniques and tools needed for engineering practice; ability to employ information technologies effectively.

Course Syllabus

# Subjects Teaching Methods and Technics
1 Computer HW & OS Lecture
2 Introduction to Algorithms, Definitions Lecture
3 Introduction to Algorithms, Existing paradigms and relation to hardware Lecture
4 Programming Foundations, Functions and States Lecture
5 Programming Foundations, Expressions and Type systems Lecture
6 Writing Simple programs and applications Lecture
7 Midterm Exam Review and exam
8 Continuous functions and switched alternatives Lecture
9 Recursion: First introduction to primitive recursive functions Lecture
10 Sequential and concurrent executions Lecture
11 Conditional branching Lecture
12 Webpage prep&pub. Lecture
13 Repetition Lecture
14 Rewievs and discussions on projects Lecture
15 Final Exam
16

Course Syllabus

# Material / Resources Information About Resources Reference / Recommended Resources
1 All computer books, magazines, articles on internet

Method of Assessment

# Weight Work Type Work Title
1 40% Mid-Term Exam Mid-Term Exam
2 60% Final Exam Final Exam

Relationship between Learning Outcomes of Course and Program Outcomes

# Learning Outcomes Program Outcomes Method of Assessment
1 Adequate knowledge in mathematics, science and engineering subjects pertaining to the relevant discipline; ability to use theoretical and applied information in these areas to model and solve engineering problems. 1 1͵2
2 Ability to identify, formulate, and solve complex engineering problems; ability to select and apply proper analysis and modeling methods for this purpose. 1 1͵2
3 Ability to design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the desired result; ability to apply modern design methods for this purpose. (Realistic constraints and conditions may include factors such as economic and environmental issues, sustainability, manufacturability, ethics, health, safety issues, and social and political issues, according to the nature of the design.) 1 1͵2
4 Ability to devise, select, and use modern techniques and tools needed for engineering practice; ability to employ information technologies effectively. 1 1͵2
PS. The numbers, which are shown in the column Method of Assessment, presents the methods shown in the previous table, titled as Method of Assessment.

Work Load Details

# Type of Work Quantity Time (Hour) Work Load
1 Course Duration 14 4 56
2 Course Duration Except Class (Preliminary Study, Enhancement) 14 2 28
3 Presentation and Seminar Preparation 0 0 0
4 Web Research, Library and Archival Work 0 0 0
5 Document/Information Listing 0 0 0
6 Workshop 0 0 0
7 Preparation for Midterm Exam 0 0 0
8 Midterm Exam 1 1 1
9 Quiz 0 0 0
10 Homework 5 1 5
11 Midterm Project 0 0 0
12 Midterm Exercise 0 0 0
13 Final Project 0 0 0
14 Final Exercise 0 0 0
15 Preparation for Final Exam 1 1 1
16 Final Exam 1 1 1
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