COURSE INFORMATION Course Title: INTRODUCTION TO ALGORITHMS & PROGRAMMING

Code	Course Type	Regular Semester	Theory	Practice	Lab	Credits	ECTS
CEN 109	B	1	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)	Dr. Florenc Skuka fskuka@epoka.edu.al
Main Course Lecturer (name, surname, academic title/scientific degree, email address and signature) and Office Hours:	M.Sc. Sabrina Begaj sbegaj@epoka.edu.al , Thursday, 10:30 - 12:00
Second Course Lecturer(s) (name, surname, academic title/scientific degree, email address and signature) and Office Hours:	M.Sc. Ketjona Shameti kshameti@epoka.edu.al
Language:	English
Compulsory/Elective:	Compulsory
Study program: (the study for which this course is offered)	Bachelor in Software Engineering (3 years)
Classroom and Meeting Time:	E 007
Teaching Assistant(s) and Office Hours:	NA
Code of Ethics:	Code of Ethics of EPOKA University Regulation of EPOKA University "On Student Discipline"
Attendance Requirement:	75%
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. Flowcharts, Data types, decision statements, compound statements, logical operators, while loop, for loop, do while loop, standard math functions, modular programming, arrays are covered in the course.

BASIC CONCEPTS OF THE COURSE

1	Flowcharts
2	Number Systems
3	Repetition Structure
4	Selection Structure
5	Functions
6	Arrays

COURSE OUTLINE

Week	Topics
1	Intro.to the course, Number systems.
2	Flowcharts 1
3	Flowcharts 2
4	Flowcharts 3
5	Intro. to C Programming structure
6	Data Types , Logical Operators and Decision Statements, Compound statements
7	while loops, Increment and Decrement operators
8	MIDTERM
9	for Loops, do while loops
10	Using Nested Structures
11	Standard Functions and Math Functions
12	Arrays
13	Arrays and Functions
14	Debugging and Review

Prerequisite(s):	No prerequisites
Textbook(s):	C How to Program 9th Edition, DEITEL & DEITEL Programming with C – 2nd Edition – Byron Gottfried
Additional Literature:
Laboratory Work:	YES
Computer Usage:	YES
Others:	No

COURSE LEARNING OUTCOMES

1	Learn about algorithms, how they are usually represented, and some of their most common applications
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	Comprehend and solve a problem considering logic of computer work and develop flow and algorithm schema about solution.
5	Use the programming language environment; determine syntax errors in software and correct them.
6	Define the needed variants to encode a program, use the control structures and loops, do the shortest and the most effective code writing.
7	Learn about algorithms, how they are usually represented, and some of their most common applications
8	Recognise and use the basic building blocks of programming: sequence, selection and repetition

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

No	Program Competencies	Cont.
Bachelor in Software 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.	3
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
5	Ability of designing and conducting experiments, conduction data acquisition and analysis and making conclusions.	5
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.	3
8	Ability for effective oral and official communication skills in foreign language.	3
9	Engineering graduates with motivation to life-long learning and having known significance of continuous education beyond undergraduate studies for science and technology.	4
10	Engineering graduates with well-structured responsibilities in profession and ethics.	5
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.	2
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.	3

COURSE EVALUATION METHOD

Method	Quantity	Percentage
Homework	1	10
Midterm Exam(s)	1	35
Quiz	1	5
Laboratory	1	5
Final Exam	1	45
	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

CONCLUDING REMARKS BY THE COURSE LECTURER