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DATA ANALYTICS I PROGRAMME COURSE DESCRIPTION

Code Name of the Course Unit Semester In-Class Hours (T+P) Credit ECTS Credit
YBS317 DATA ANALYTICS I 5 3 3 8

GENERAL INFORMATION

Language of Instruction : Turkish
Level of the Course Unit : BACHELOR'S DEGREE, TYY: + 6.Level, EQF-LLL: 6.Level, QF-EHEA: First Cycle
Type of the Course : Compulsory
Mode of Delivery of the Course Unit -
Coordinator of the Course Unit Assist.Prof. DİDEM TETİK KÜÇÜKELÇİ
Instructor(s) of the Course Unit Assist.Prof. SÜREYYA İMRE BIYIKLI
Course Prerequisite No

OBJECTIVES AND CONTENTS

Objectives of the Course Unit: The aim of this course is to prepare students to collect, define and analyze data and to use advanced statistical tools to make decisions about the field of business. In the scope of the course, data mining algorithms based mainly on prediction will be included and business applications will be made with R language. It is aimed to provide students with problem solving and project development habits with a systematic approach.
Contents of the Course Unit: Contents of the course include the subjects such as algorithms and programming concepts, variables, data types, input and output statements, series, lists, dictionaries, functions, file processing.

KEY LEARNING OUTCOMES OF THE COURSE UNIT (On successful completion of this course unit, students/learners will or will be able to)

Use different file formats for data input and output. {use}
Analyze statistical analyses in R, which is an open source platform. {analysis}
Evaluate the accuracy of the analysed data.{evaluate}
Develop his/her own analysis technique himself/herself.{develop}
Assess data extraction and data reduction techniques.{assess}

WEEKLY COURSE CONTENTS AND STUDY MATERIALS FOR PRELIMINARY & FURTHER STUDY

Week Preparatory Topics(Subjects) Method
1 - History and development of computers Lecture & Discussion & Practice
2 Literature Review, Assignment Main components of computer: hardware and software Lecture & Discussion & Practice
3 Literature Review, Assignment Algorithms and programming concepts Lecture & Discussion & Practice
4 Literature Review, Assignment Variables, Types of Data, Input and Output Expressions Lecture & Discussion & Practice
5 Literature Review, Assignment Conditional Expressions Lecture & Discussion & Practice
6 Literature Review, Assignment Loop structures Lecture & Discussion & Practice
7 Literature Review, Assignment Arrays: Clusters, Lists, Words Lecture & Discussion & Practice
8 - MID-TERM EXAM -
9 Literature Review, Assignment Revision before midterm exam Lecture & Discussion & Practice
10 Literature Review, Assignment Functions -I Lecture & Discussion & Practice
11 Literature Review, Assignment Functions -II Lecture & Discussion & Practice
12 Literature Review, Assignment Strings Lecture & Discussion & Practice
13 Literature Review, Assignment Files Lecture & Discussion & Practice
14 Literature Review, Assignment Graph drawing Lecture & Discussion & Practice
15 Literature Review, Assignment Revision before final exam Lecture & Discussion & Practice
16 - FINAL EXAM -
17 - FINAL EXAM -

SOURCE MATERIALS & RECOMMENDED READING

Karacay, T. (2016). Python 3: Veri Yapilari. Seckin Publications.
Aksoy, A. (2016). Yeni Baslayanlar Icin Python. Abakus Publications.

ASSESSMENT

Assessment & Grading of In-Term Activities Number of Activities Degree of Contribution (%) Description
Level of Contribution
0 1 2 3 4 5

CONTRIBUTION OF THE COURSE UNIT TO THE PROGRAMME LEARNING OUTCOMES

KNOWLEDGE

Theoretical

Programme Learning Outcomes Level of Contribution
0 1 2 3 4 5
1
Define concepts such as management, manager and leader.
5
2
Analyze the accuracy, reliability and validity of the new information obtained from the data.
5

KNOWLEDGE

Factual

Programme Learning Outcomes Level of Contribution
0 1 2 3 4 5
1
Report the obtained data.
5
2
Prepare software and projects related with the field.
5

SKILLS

Cognitive

Programme Learning Outcomes Level of Contribution
0 1 2 3 4 5
1
Use the appropriate resources for data analysis related with the field.
5
2
Analyze the work processes.
4

SKILLS

Practical

Programme Learning Outcomes Level of Contribution
0 1 2 3 4 5
1
Manage projects as part of a team.
4
2
Apply the material, techniques and analyzes in relation with the subject for project and work flows.
5

OCCUPATIONAL

Autonomy & Responsibility

Programme Learning Outcomes Level of Contribution
0 1 2 3 4 5
1
Fulfill responsibility with a focus on result in individual and team studies.
5

OCCUPATIONAL

Learning to Learn

Programme Learning Outcomes Level of Contribution
0 1 2 3 4 5
1
Recognizes what he/she knows about his/her field or not.
5
2
Act the theoretical knowledge in real life with learning to learn approach.
5
3
Apply different methods and techniques with an innovative approach in his/her research.
5

OCCUPATIONAL

Communication & Social

Programme Learning Outcomes Level of Contribution
0 1 2 3 4 5
1
Apply the results obtained in accordance with voluntarism and social responsibility projects.
5
2
Establish a healthy contact with colleagues
4
3
Share the analyzes and obtained results with colleagues.
4
4
Cooperate with colleagues at international level with the help of foreign language competency.
3

OCCUPATIONAL

Occupational and/or Vocational

Programme Learning Outcomes Level of Contribution
0 1 2 3 4 5
1
Behave in accordance with ethical values regarding the collection, analysis and reporting of data.
5
2
Participate the design of work processes and systems with full quality.
5
3
Cooperate with other employees for the continuation of sustainability in the profession.
4

WORKLOAD & ECTS CREDITS OF THE COURSE UNIT

Workload for Learning & Teaching Activities

Type of the Learning Activites Learning Activities (# of week) Duration (hours, h) Workload (h)
Lecture & In-Class Activities 14 3 42
Preliminary & Further Study 13 3 39
Land Surveying 0 0 0
Group Work 13 2 26
Laboratory 0 0 0
Reading 14 1 14
Assignment (Homework) 13 2 26
Project Work 1 23 23
Seminar 0 0 0
Internship 0 0 0
Technical Visit 0 0 0
Web Based Learning 0 0 0
Implementation/Application/Practice 0 0 0
Practice at a workplace 0 0 0
Occupational Activity 0 0 0
Social Activity 0 0 0
Thesis Work 0 0 0
Field Study 0 0 0
Report Writing 1 10 10
Final Exam 1 1 1
Preparation for the Final Exam 1 14 14
Mid-Term Exam 1 1 1
Preparation for the Mid-Term Exam 1 7 7
Short Exam 0 0 0
Preparation for the Short Exam 0 0 0
TOTAL 73 0 203
Total Workload of the Course Unit 203
Workload (h) / 25.5 8
ECTS Credits allocated for the Course Unit 8,0