COURSE UNIT TITLE

: DIGITAL SKILLS FOR WORKING LIFE

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
CEK 4043 DIGITAL SKILLS FOR WORKING LIFE ELECTIVE 3 0 0 5

Offered By

Labour Economics and Industrial Relations

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

ASSOCIATE PROFESSOR CEYHUN GÜLER

Offered to

Labour Economics and Industrial Relations
Labour Economics and Industrial Relations (Evening)

Course Objective

The aim of this course is to examine the role of digital technologies in working life within a conceptual and practical framework, and to enable students to use digital skills effectively. Students will acquire knowledge and competencies in areas such as AI-powered tools, data analysis and visualization techniques, digital communication and collaboration platforms, and effective presentation preparation, thereby developing the skills needed to adapt to the digitalized world of work.

Learning Outcomes of the Course Unit

1   To understand the effective use of digital skills in working life.
2   To acquire the ability to actively use artificial intelligence and digital design tools.
3   To create professional presentations using effective presentation preparation techniques.
4   To gain the ability to collect, analyze, and interpret data through digital platforms. To gain the ability to collect, analyze, and interpret data through digital platforms.
5   To make data-driven decisions in working life by using digital skills.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 The role of digital skills in working life
2 Artificial intelligence and its applications in the business world
3 Creating effective visual presentations with Canva, Prezi, and PowerPoint
4 Data collection and analysis platforms (Power BI, Tableau, etc.)
5 Digital collaboration tools (Google Drive, Trello, Slack, etc.)
6 Digital security and ethics
7 Reporting techniques in digital environments
8 The future role of digital skills and career planning
9 Data visualization techniques
10 Effective communication on digital platforms
11 Problem-solving and decision-making using digital skills
12 Presentation of in-term projects
13 Contribution of digital skills to professional development
14 The impact of digitalization on labor economics and industrial relations

Recomended or Required Reading

Saldamlı, Asım, Bilimsel Araştırma ve Sunum Teknikleri, Detay Yayıncılık, 2016. Sönmez, Mehmet Ferhat, Demir, Özcan, Demir Akmeşe, Zuhal, Etkili Iletişim - Sunum Teknikleri ve Beden Dili, Literatürk Academia, 2024., Kösel, Eylül Seren, Yalçıntaş, Altuğ, Yapay Zeka Destekli Araştırma Yöntemleri: Iktisat Alanından Uygulama ve Örneklerle, Efil Yayınevi, 2024.

Planned Learning Activities and Teaching Methods

Visually supported active lectures, hands-on activities, individual and group projects.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 STT TERM WORK (SEMESTER)
2 MTE MIDTERM EXAM
3 MTEG MIDTERM GRADE STT * 0.50 +MTE * 0.50
4 FIN FINAL EXAM
5 FCG FINAL COURSE GRADE MTEG * 0.40 + FIN * 0.60
6 RST RESIT
7 FCGR FINAL COURSE GRADE (RESIT) MTEG * 0.40 + RST * 0.60


Further Notes About Assessment Methods

ARS Midterm Exam

YIN In-term Grade

FN End-of-Semester Exam

BNS BNS

BUT Make-up Exam Grade

BBN Final Grade after Make-up Exam

Grading Formula:
(In-term Work (%50) + Midterm Exam (%50)) * %40 + End-of-Semester Exam (%60) + Make-up Exam

Assessment Criteria

All learning outcomes are assessed through in-term work, the midterm exam, and the end-of-semester exam.

Language of Instruction

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

ceyhun.guler@deu.edu.tr

Office Hours

Monday: 1:00 PM 2:00 PM / Tuesday: 1:00 PM 2:00 PM

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 12 2 24
Preparations before/after weekly lectures 14 5 70
Preparation for midterm exam 3 3 9
Preparation for final exam 2 2 4
Preparing assignments 2 3 6
Final 1 1 1
Midterm 1 1 1
TOTAL WORKLOAD (hours) 115

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12
LO.1445444444455
LO.2445444444455
LO.3445444444455
LO.4445554444455
LO.5445554444455

CONTACT INFORMATION
Dokuz Eylül Üniversitesi Cumhuriyet Bulvarı No: 144 35210 Alsancak / İZMİR
Phone: +90(232) 412 12 12 - Fax: +90 (232) 464 81 35

Copyright 2015 DEÜ. BİD

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