EPOKA UNIVERSITY
FACULTY OF ARCHITECTURE AND ENGINEERING
DEPARTMENT OF COMPUTER ENGINEERING
COURSE SYLLABUS
COURSE INFORMATIONCourse Title: INTRODUCTION TO ALGORITHMS AND PROGRAMMING |
| Code | Course Type | Regular Semester | Theory | Practice | Lab | Credits | ECTS |
|---|---|---|---|---|---|---|---|
| CEN 111 | B | 1 | 3 | 0 | 2 | 4 | 6 |
| 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: | Enea Mançellari , Monday 9:30 - 11:30 |
| Second Lecturer(s) (name, surname, academic title/scientific degree, email address and signature) and Office Hours: | NA |
| Teaching Assistant(s) and Office Hours: | NA |
| Language: | English |
| Compulsory/Elective: | Compulsory |
| Classroom and Meeting Time: | Monday - E314 - 14:30-16:15 |
| Course Description: | The objective of this course is to equip the students with the basic understanding of algorithms and programming concepts. Flowcharts are also covered in the course. |
| Course Objectives: | The objective of this course is to equip the students with the basic understanding of algorithms and programming concepts. At the end of the course, student should be able to develop basic programs using C language. |
|
COURSE OUTLINE
|
| Week | Topics |
| 1 | Introduction to the course and an overview |
| 2 | Flowcharts-part1 |
| 3 | Flowcharts-part2 |
| 4 | Algorithms and Pseudocodes -part1 |
| 5 | Algorithms and Pseudocodes -part2 |
| 6 | Introduction to C Programming, C Formatted Input/Output |
| 7 | Variable Declarations, Data Types, Expressions |
| 8 | MIDTERM EXAM |
| 9 | Structured Program Development and Program Control |
| 10 | Loops-1 |
| 11 | Loops-2 |
| 12 | Functions -1 |
| 13 | Functions -2 |
| 14 | Arrays |
| Prerequisite(s): | None |
| Textbook: | Deitel H. and Deitel P., “C How to Program”, 5th Edition, Prentice Hall, 2007. |
| Other References: | None |
| Laboratory Work: | Tuesday (Group A) - Pc Lab1 - 09:30-12:15, Wednesday (Group B) - Pc Lab1- 11:30 - 14:15 |
| Computer Usage: | Computers needed for research and hands-on practice. |
| Others: | No |
|
COURSE LEARNING OUTCOMES
|
| 1 | Understand basic knowledge about programming |
| 2 | Understand basic knowledge about structural programming, algorithm concept and design of algorithms |
| 3 | Understand basic knowledge about C programming language with respect to algorithm concept |
| 4 | 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 | 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 |
| 6 | 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. |
| 7 | Ability of designing and conducting experiments, conduction data acquisition and analysis and making conclusions |
| 8 | Ability for effective oral and official communication skills in foreign language |
| 9 | Engineering graduates with motivation to life-long learning and having known significance of continuous education beyond undergraduate studies for science and technology |
| 10 | Consciousness for the results and effects of engineering solutions on the society and universe, awareness for the developmental considerations with contemporary problems of humanity |
|
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. | |
| 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. | |
| 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. | |
| 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. | |
| 5 | Ability of designing and conducting experiments, conduction data acquisition and analysis and making conclusions. | |
| 6 | Ability of identifying the potential resources for information or knowledge regarding a given engineering issue. | |
| 7 | The abilities and performance to participate multi-disciplinary groups together with the effective oral and official communication skills and personal confidence. | |
| 8 | Ability for effective oral and official communication skills in foreign language. | |
| 9 | Engineering graduates with motivation to life-long learning and having known significance of continuous education beyond undergraduate studies for science and technology. | |
| 10 | Engineering graduates with well-structured responsibilities in profession and ethics. | |
| 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. | |
| 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. | |
|
COURSE EVALUATION METHOD
|
| Method | Quantity | Percentage |
| Homework |
2
|
5
|
| Midterm Exam(s) |
1
|
30
|
| Project |
1
|
20
|
| 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) | 15 | 2 | 30 |
| Mid-terms | 1 | 10 | 10 |
| Assignments | 1 | 5 | 5 |
| Final examination | 1 | 20 | 20 |
| Other | 1 | 5 | 5 |
|
Total Work Load:
|
150 | ||
|
Total Work Load/25(h):
|
6 | ||
|
ECTS Credit of the Course:
|
6 | ||