Module/Course Title: Capita Selecta

Module course code

KOMS120601

Student Workload
119 hours

Credits

3 / 4.5 ETCS

Semester

6

Frequency

Even Semester

Duration

16

1

Type of course

Supporting Science and Technology Courses

Contact hours


40 hours of face-to-face (theoretical) class activity

Independent Study


48 hours of independent activity
48 hours of structured activities

Class Size

30

2

Prerequisites for participation (if applicable)

-

3

Learning Outcomes

  1. Students can describe the basic concepts of computer science
  2. Students can describe the recent research trends related to their planned thesis proposal
  3. Students can demonstrate the simple implementation of recent trend of a certain technology
  4. Students can design a blueprint of solution to be delivered in their thesis

4

Subject aims/Content

This course introduces the emerging topics in the field of computer science. It provides an overview of research that can be raised in preparing the final project. Such as E-Teaching, E-Learning, E-business and E-Government, Mobile Technology, Multimedia Application, Internet of Things for Smart City, Pattern Recognition and Image Processing, Machine Learning, and United Nation Big Data, Software Development, Biomedical Informatics, Artificial Intelligence Systems, and Robotics

Study Material

Technological trends in daily life

Technology trends in industry I

Technology trends in industry II

Technology trends in industry III

Technological trends in industry IV

Tech trends in industry V 

Technology trends in industry VI

MIDTERM EXAM

Creative technology I

Creative technology II

Creative Technology III

Creative Technology IV

Creative Technology V 

Creative Technology VI

Technology trend

FINAL EXAMS

5

Teaching methods

Synchronous:

Face-to-face meetings/online meetings

6

Assesment Methods

Attendance and participation

7

This module/course is used in the following study programme/s as well

Computer Science Study Programme

8

Responsibility for module/course

  • Kadek Yota Ernanda Aryanto, M.T. Ph.D.
  • NIDN : 0024037804

9

Other Information

  1. thesis on computer science research in libraries 
  2. Video IOT : https://www.youtube.com/results?search_query=iot+internet+of+things
  3. Video ERP : https://www.youtube.com/watch?v=QNrUk4TZPM0&pp=ygUDRVJQ
  4. Rasben Dantes , ERP : https://www.neliti.com/publications/296365/multi-factor-enterprise-methodology-an-approach-to-erp-implementation
  5. Yota Ernanda, IoT : https://ieeexplore.ieee.org/document/9649631
  6. Aditra and Permana, KNN, http://juti.if.its.ac.id/index.php/juti/article/view/696
  7. Permana, ANN, https://www.academia.edu/62304369/Sistem_Evaluasi_Kelayakan_Mahasiswa_MagangMenggunakan_Elman_Recurrent_Neural_Network
  8. Permana, Wawan, LSTM, https://infoteks.org/journals/index.php/jsikti/article/download/5/120/
  9. Yudhi Paramartha, E-LEarning, https://journal.uny.ac.id/index.php/jpv/issue/view/1502
  10. Yudhi Paramartha, Web Service, https://ejournal.undiksha.ac.id/index.php/JST/article/view/8813