Nevşehir Hacı Bektaş Veli University Course Catalogue

Information Of Programmes

FACULTY OF LETTERS & SCIENCE / MAT302 - MATHEMATICS

Code: MAT302 Course Title: GENERAL PROGRAMMING II Theoretical+Practice: 4+0 ECTS: 6
Year/Semester of Study 3 / Spring Semester
Level of Course 1st Cycle Degree Programme
Type of Course Optional
Department MATHEMATICS
Pre-requisities and Co-requisites None
Mode of Delivery Face to Face
Teaching Period 14 Weeks
Name of Lecturer AHMET KAYA (ahmetkaya@nevsehir.edu.tr)
Name of Lecturer(s)
Language of Instruction Turkish
Work Placement(s) None
Objectives of the Course
The aim of this course is to provide students with the ability to learn and use the Python programming language at a basic level.

Learning Outcomes PO MME
The students who succeeded in this course:
LO-1 Know basics of Python language PO-2 Have the knowledge to critize, analyze, and evaluate the correctness, reliability, and validity of mathematical data.
PO-4 Analytically use the interdisciplinary approach at learning process.
PO-5 Develop suitable material for a subject on a mathematical area, to use the knowledge and experience gains with different methods
Examination
Laboratory Exam
Performance Project
LO-2 Write basic Python programs PO-4 Analytically use the interdisciplinary approach at learning process.
PO-5 Develop suitable material for a subject on a mathematical area, to use the knowledge and experience gains with different methods
Examination
Performance Project
LO-3 Write control and loop expressions. PO-4 Analytically use the interdisciplinary approach at learning process.
PO-7 Have the knowledge to determine the needs related to his area and to direct his learning and use exclusively computer technologies with software.
Examination
Performance Project
PO: Programme Outcomes
MME:Method of measurement & Evaluation

Course Contents
Basic components of Python, methods of programming, Python words, decisions, loops, arrays and strings.
Weekly Course Content
Week Subject Learning Activities and Teaching Methods
1 Basic components of Python Lecturing and problem solving
2 Basic components of Python Lecturing and problem solving
3 Basic components of Python Lecturing and problem solving
4 Methods of programming Lecturing and problem solving
5 Methods of programming Lecturing and problem solving
6 Python words Lecturing and problem solving
7 Python words Lecturing and problem solving
8 mid-term exam
9 Functions Lecturing and problem solving
10 Functions Lecturing and problem solving
11 Loops Lecturing and problem solving
12 Loops Lecturing and problem solving
13 Arrays and strings Lecturing and problem solving
14 Arrays and strings Lecturing and problem solving
15 Arrays and strings Lecturing and problem solving
16 final exam
Recommend Course Book / Supplementary Book/Reading
Required Course instruments and materials
Computer Laboratory

Assessment Methods
Type of Assessment Week Hours Weight(%)
mid-term exam 8 2 40
Other assessment methods
1.Oral Examination
2.Quiz
3.Laboratory exam
4.Presentation
5.Report
6.Workshop
7.Performance Project
8.Term Paper
9.Project
final exam 15 2 60

Student Work Load
Type of Work Weekly Hours Number of Weeks Work Load
Weekly Course Hours (Theoretical+Practice) 3 14 42
Outside Class
       a) Reading 6 14 84
       b) Search in internet/Library 2 14 28
       c) Performance Project 0
       d) Prepare a workshop/Presentation/Report 0
       e) Term paper/Project 0
Oral Examination 0
Quiz 0
Laboratory exam 0
Own study for mid-term exam 8 2 16
mid-term exam 2 1 2
Own study for final exam 8 2 16
final exam 2 1 2
0
0
Total work load; 190