BASIC PROGRAMMING IN BUSINESS ADMINISTRATION

MAN492

Course Code: MAN492
Semester: -
Theory+Practice: 3 + 0
ECTS: 5

Course Type

Elective Course

Course Level

Bachelor's Degree

Year of Study

Semester

ECTS

Name of Lecturer(s)

Learning Outcomes

At the end of this course, the students;

Learn to use all the features of word processing software at a high level.
Learn to use all the features of the spreadsheet software at a high level.
Learn to use all the features of the Presentation software at a high level.
Learn to use the basic features of Python programming.
Learn to design solutions for business domain with Python programming language.

Mode of Delivery

Face to face

Prerequisites

Recommended Optional Programme Components

MAN417 CURRENT TRENDS / APPROACHES IN BUSINESS

Course Description

The aim of this course is to teach basic computer programs and python programming language that are important for their education and professional life. With this course students will gain a new skills and tools for solving problems and analysis. Students who miss more than 30% of total class hours receive an F2 grade.

Course Contents

WEEK	TOPICS
1^st Week	Introduction, Introduction and Installation of Word Processing, Spreadsheet Processing and Presentation Preparation Applications
2^nd Week	Word Processor, Basic and Advanced applications
3^rd Week	Presentation Preparation, Basic and Advanced applications
4^th Week	Spreadsheet Processing - Basic Applications, Formulas and Functions
5^th Week	Spreadsheet Processing - Charts and Table Preparation
6^th Week	Spreadsheet Processing - Advanced Formulas and Functions
7^th Week	Midterm
8^th Week	Spreadsheet Processing - Examples and Applications
9^th Week	Introduction to Python
10^th Week	Programming with Python
11^th Week	Programming with Python (continued)
12^th Week	Programming with Python (continued)
13^th Week	Python Programming - Examples and Applications
14^th Week	General review

Recommended or Required Reading

Microsoft Office 365: In Practice, 2019 Edition, Randy Nordell, McGraw-Hill Education, 2019.
Starting Out with Python Fifth Edition Global Edition, Tony Gaddis, Pearson, 2021.
İleri Düzey Excel 2019, Ömer Bağcı, Seçkin Yayıncılık, 9.Baskı, 2020.
Python 3 Veri Yapıları, Timur Karaçay, Kuban Matbaacılık, 2013.

Planned Learning Activities and Teaching Methods

Lecture
Project
Practice

Assessment Methods and Criteria

	Quantity	Percentage (%)
Mid-term	1	30
Assignment	4	20
Total(%)		50
Contribution of In-term Studies to Overall Grade(%)		50
Contribution of Final Examination to Overall Grade(%)		50
Total(%)		100

ECTS Allocated Based on Student Workload

Activities	Quantity	Duration (Hour)	Total Workload (Hour)
Midterm exam	1	2	2
Preparation for Quiz
Individual or group work	14	1	14
Preparation for Final exam	1	55	55
Course hours	14	3	42
Preparation for Midterm exam	1	40	40
Laboratory (including preparation)
Final exam	1	2	2
Homework
Total Work Load			155
Total Work Load / 30 (h)			5.16
ECTS Credit of the Course			5

Language of Instruction

Turkish

Work Placement(s)

Programme Qualifications / Learning Outcomes

	LO1	LO2	LO3	LO4	LO5
K1	X	X	X
K2
K3		X	X
K4
K5	X		X		X
K6
K7
K8		X	X	X
K9
K10
K11		X
K12
K13