Curriculum for Doctoral Program in Computer Science
The development (revision) of the D-CS Programme’s curriculum was carried out by considering the department’s internal factors, student interest in research topics, and the development of science and technology. Internal supports that are the basis for consideration consist of human resources, and the existence of five research or scientific laboratories that have been established in the DCSE, namely: Intelligent Systems Laboratory (IS), Computer Systems and Networks Laboratory (CSN), Algorithm and Computation Laboratory (AC), Electronics and Instrumentation Laboratory (EI) and Software and Data Engineering Laboratory (SDE). Then, the programme offers five research interests, each of which is supported by courses provides by the five laboratories.
Drafting Basis of Curriculum 2022
The legal foundations of curriculum are as follows:
- Ministry of Education and Culture’s Regulation No. 3/2020 about National Standard of College.
- Rector’s Regulation No.14 of 2020 concerning the basic framework for the UGM Curriculum.
- Decision Letter of General Directorate of Higher Education No. 84/E/KPT/2020 about implementation guidance of compulsory courses at higher education curriculum.
- Government regulation No. 19/2005, Decision of National Education Ministry No. 045/2002 about College core curriculum and UGM Rector’s Decision Letter No. 11/2016 concerning Graduate Education.
- Republic of Indonesia President’s Regulation No. 8/2012 concerning Indonesia National Qualification Framework.
- Ministry of Education and Culture’s Regulation No.73/2013 concerning the implementation of National Qualification Framework in the field of higher education.
- The meeting results of FMNS’s Senate, UGM concerning the change of graduate program, FMNS, UGM curriculum.
- Workshops and meetings concerning the change of curriculum at DCSE and D-CS programme that involve lecturers, students, alumni, and users.
- Curriculum benchmarking with other similar programmes from both domestic and overseas.
The Fundamental Reasons of the Change from Curriculum 2017 to 2022
- To meet and adapt the change of international curriculum standards, especially Computer Science Curricula 2020 compiled by The Joint Task Force on Computing Curricula Association for Computing Machinery (ACM) IEEE Computer Society.
- To implement Indonesia National Qualification Framework (IQF)-based curriculum.
- To adjust programme learning outcome (PLO) in order to meet international standards.
- To meet the recommendations found in accreditation, audit or other events.
- To adapt the contents and syllabus of existing courses, in order to be able to describe emerging trends and the development of recent research in the field of computer science.
In addition, the change (development) of D-CS’s curriculum also regard department internals’ factors, students’ research interests, as well as the development of science and technology. Internal potency (factor) that become main considerations are human resources, and the existences as well as supports from the five research laboratories at department: AC, IS, SDE, CSN, and EI. These five research laboratories will provide relevant courses that will support the students’ researches according to the chosen research topics. Lastly, the change (revision) was done by considering that the average length of study of students is still high. So, the curriculum revision was done in hoping that not only the research’s quality increase, but also the average of study completion time of students decrease.
Targets of Curriculum
The curriculum targets and achievements of D-CS, DCSE, FMNS, UGM relates with the educational objectives, and indicators as listed in Table I and Table II respectively.
Table I. Objectives, Targets, and Indicators of D-CS Programme
No | Objective | Targets | Indicators |
1 | To produce graduates that can implement and develop research that yield theory, concept, as well as new method in the field of computer science. | High number of produced research. | Number of obtained students’ research grant per year. |
Sharpness and superiority of produced theory, concept, as well as new method. | Number of developed and produced new theory. | ||
Increasement of number of internationally scientific publications. | Number of students’ international publications per year. | ||
2 | To produce graduates that can take a role as consultant as well as lecturer at raduate programme in the field of computer science. | Graduates whose good / excellent ability and quality. | Average of CGPA. |
3 | To produce graduates that can adapt well in the development of computer science, as well as whose good / excellent academic ability. | More variative topics of dissertation. | Equality of dissertation quality. Dissertation topics variations per batch. |
Graduates whose high GPA, as well as short length of study (close to three years). | Average of GPA. Average of study length. |
Table II. Indicators and Achievement Targets
No | Indicator | Achievement Target | ||
Baseline (2022) | Midline (5 Years from 2022) | Target (10 Years form 2022) | ||
1 | Equality of dissertation quality | ASEAN | International | International |
2 | Average of GPA | 3.70 | 3.75 | 3.8 |
3 | Average of study length | 4.3 Years | 3.9 Years | 3.5 Years |
4 | Distribution of students’ origin | ASEAN | International | International |
5 | Number of obtained students’ research grant per year | 10 | 15 | 20 |
6 | Number of students’ international publications per year | 10 | 15 | 25 |
7 | Number of produced newmethods | 8 | 11 | 15 |