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  • Bachelor in Computer Science Program – Module Mapping to PLOs

Bachelor in Computer Science Program – Module Mapping to PLOs

  • 26 October 2022, 02.12
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Overview

Courses are mapped based on the Program Learning Outcomes and the graduate profile that aims to ease the measurement of the graduate outcomes. As an example of this mapping, the Pancasila course has graduate learning outcomes to support attitudes and values with strong values and professionalism with strong values as well. The conformity for the Pancasila course is conformed with all profile types. The complete mapping of each course with each of the graduate learning outcome and the graduate profile of the Undergraduate Program in Computer Science is shown in the table below. This course mapping was designed by taking into account the expected level of understanding strength possessed by the students, which are divided into three levels, namely Strong (S), Medium (M), and Weak (W).

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Mapping Between Compulsory Courses and PLOs

NO Course Name Program Learning Outcome* Graduate Profile **
PLO1 PLO2 PLO3 PLO4 PLO5 CS AIE DS SE CE DE
COMPULSORY COURSE
1 Religion S W M v v v v v v
2 Calculus I S M W v v v v v v
3 Basic Physics I M W v v v v v v
4 Basic Chemistry I M W v v v v v v
5 Programming S S M W v v v v v v
6 Lab Work in Programming W S S M W v v v v v v
7 Logic for Computer Science S M M W v v v v v v
8 Elementary Linear Algebra S M W v v v v v v
9 Scientific Writing and Ethics S S M M M v v v v v v
10 Integral and Differential Equations M M W v v v v v v
11 Introduction to Statistics M M M v v v v v v
12 Organization and Computer Architecture S M W v v v v v v
13 S S M W v v v v v v
14 Lab Work in Algorithms and Data Structures W S S M W v v v v v v
15 Discrete Mathematics S S M v v v v v v
16 Digital Systems M M v v v v v v
17 English M M M S v v v v v v
18 Pancasila S M S v v v v v v
19 Probability and Stochastic Processes S M W v v v v v v
20 Artificial Intelligence S S M W v v
21 Analysis of Algorithms and Complexity S M W W v v v v v v
22 Computer Networks S M W W v v
23 Operating Systems S M W W v v v v v v
24 Computer Systems and Networks Lab Work W S M W W v v
25 Computational Thinking W M M S v v v v v v
26 Database S S M M v v v v
27 Lab Work in Database S S M M v v v v
28 Citizenship S W W M v v v v v v
29 Numerical Methods M M W W v v v v v v
30 Software Engineering Methods S S M M v v v
31 Workshop on Implementing Software Design W S S M M v v v
32 Cryptography and Network Security S M W W v v v v v v
33 Languages and Automata M M W v v v v v v
34 Startup Digital Development M M M M M v v v v v v
35 Philosophy of Computer Science M W W v v v v v v
36 Machine Learning M S S M v v v
37 Deep Learning M S S M v v v
38 Research Method of Computer Science M S M M M v v v v v v
39 Seminar Class W M M M W v v v v v v
40 Software Engineering Project W M S S M v v v
41 Community Development Participation M W M M v v v v v v
42 Undergraduate Thesis Proposal M M S S M v v v v v v
43 Undergraduate Thesis M M S S M v v v v v v

* S =Strong; M = Medium; W= Weak ** Graduate Profile: CS = Computer Scientist; AIE= Artificial Intelligence Engineer; DS=Data Scientist; SE= Software Engineer; CE= Cloud Engineer; DE= Digital Entrepreneur. *** MBKM Courses are to recognize up to the 20 loads of credit transfer if any of student plan taking the outside campus learning, or the industrial internships mobility which the related to Computer Science Profiles)

Mapping Between Elective Courses and PLOs

NO Course Name Program Learning Outcome* Graduate Profile **
PLO1 PLO2 PLO3 PLO4 PLO5 CS AIE DS SE CE DE
ELECTIVE COURSES
Algorithms and Computational Labs
44 Computer Vision and Image Analysis M M W v v
45 Optimization Methods M M W W v v
46 Distributed Algorithms and Parallel Programming M M W W v v v
47 Management Science W M W W v v
48 Science Simulation W M M W v v
49 Formal Verification M M W v
50 Digital Image Processing M M W v v v
51 Computer Graphics S M W v
52 Research Trends on Algorithms and Computation M M M M v
53 Special Topic on Algorithm and Computation M M M W v
Intelligent System Labs
54 Natural Language Processing M S S M v v
55 Fuzzy Logic S M S M v
56 Decision Support Systems S M M W v v
57 Genetic Algorithms S M S M v
58 Expert Systems M M S M v
59 Bioinformatics M S S W v
60 Pattern Recognition M M M v v
61 Research Trend on Intelligent Systems M M M M v v v
62 Special Topic on Intelligent Systems M M M W v v v
Software Engineering and Data Labs
63 Front end and UI/UX Development M M M W v v
64 Scalable Software Development M S S M v v v
65 Introduction to Software Quality Assurance M M M W v v
66 Information Technology Project Management M M S M v v
67 Data Mining and Business Intelligence M M M W v v v
68 Audit dan Digital Forensics M M W v v
69 Information Retrieval M M W v
70 Semantic Web M M W v v
71 Big Data Analytics M M W W v v v v
72 Special Topics on Software and Data Engineering M M M M v v
73 Research Trends in Software and Data Engineering M M M W v v
Computer System and Networking Labs
74 Digital Society Network Modelling M M S M v v v v v
75 High Performance Architecture and Infrastructure M M M W v v
76 Mobile Application Development M S S M v v v
77 Smart and Intelligent Environment M M M v v v
78 Cloud Computing M M M W v v
79 Big Data Architecture and Infrastructure M M M v v
80 Special Topic on Computer and Network Systems M M M W v
81 Research Trends on Computer Systems and Networks M M M W v v
82 Internet of Things and Applications M M M W v v v v
83 Cyber System Security M M M W v v v
84 Next Generation Networks M M W v v
85 Smart and Intelligent Environment W M M S v v v v

* S =Strong; M = Medium; W= Weak ** Graduate Profile: CS = Computer Scientist; AIE= Artificial Intelligence Engineer; DS=Data Scientist; SE= Software Engineer; CE= Cloud Engineer; DE= Digital Entrepreneur. *** MBKM Courses are to recognize up to the 20 loads of credit transfer if any of student plan taking the outside campus learning, or the industrial internships mobility which the related to Computer Science Profiles).

Mapping of Internship Elective MBKM Courses to PLOs

NO Course Name Program Learning Outcome* Graduate Profile **
PLO1  PLO2  PLO3  PLO4  PLO5  CS  AIE  DS  SE  CE  DE 
TYPE OF INTERNSHIP/MBKM COURSES ***
⮍⮏  Internship in a Company
86 Internship: Problem Specification and Prototype Description M S S M v v v v v v
87 Internship: Development of Project Features and Modules W M S S M v v v v v v
88 Internship: Sample and Definition of Internship Dataset W M S S M v v v v v v
89 Internship: Implementation of Product Prototype M M S S S v v v v v v
90 Internship: Development of Back-end M M S S S v v v v v v
91 Internship: Testing of Project Units and Modules M M S S S v v v v v v
92 Internship: Systems and Integration Testing M M S S S v v v v v v
93 Creative Industry and Digital Games W M M M M v v v v
⮍⮏  Teaching Assistant
94 Teaching Assistant: Proposal of Digital Knowledge Trends W M S S M v v v v v v
95 Teaching Assistant: Design Tutorial of Interactive Digital Modules W M S S M v v v v v v
96 Teaching Assistant: Assistance Transferred of Digital Knowledge Trends M M S S S v v v v v v
97 Teaching Assistant: Seminar Class of Digital Knowledge Transformation W M S S M v v v v v v
⮍⮏  Independent Projects
98 Independent Project: Specification of Independent Project M S S M v v v v v v
99 Independent Project: Proposal of Independent Project W M S S M v v v v v v
100 Independent Project: Sample and Definition of Dataset Project W M S S M v v v v v v
101 Independent Project: Implementation of Independent Project M M S S S v v v v v v
102 Independent Project: Seminar Class of Independent Project W M S S M v v v v v v
⮍⮏  Research of Student
103 Research: Specification of Student Innovation Research M S S M v v v v v v
104 Research: Proposal of Student Innovation Research W M S S M v v v v v v
105 Research: Sample and Definition Dataset Research W M S S M v v v v v v
106 Research: Implementation of Student Innovation Research M M S S S v v v v v v
107 Research: Review of Internship Research W M S S M v v v v v v
108 Scholarly Poster in Computer Science W M M M M v v v v v v
109 Academic Publication in Computer Science W M M M M v v v v v v
110 International Reputed Scientific Publication W M M M v v v v v v
⮍⮏  Village Projects
111 Village Project: Specification of Urban Innovation Project M S S M v v v v v v
112 Village Project: Proposal of Urban Innovation Project W M S S M v v v v v v
113 Village Project: Implementation of Urban Innovation Project M M S S S v v v v v v
114 Village Project: Seminar Class of Urban Innovation Project W M S S M v v v v v v
⮍⮏  Entrepreneurship
115 Entrepreneurship: Proposal of Business Plan and Startup M S S M v v v v v v
116 Entrepreneurship: Specification of Product and Service W M S S M v v v v v v
117 Entrepeneurship: Module of Innovative Product Prototype W M S S M v v v v v v
118 Entrepreneurship: Module of Startup Financial and Budgeting W M S S M v v v v v v
119 Entrepreneurship: Module of Startup Financial Report W M S S M v v v v v v
120 Entrepreneurship: Module of Digital Marketing and Payment W M S S M v v v v v v
121 Entrepeneurship: Module of Marketing Analytics and Report W M S S M v v v v v v
122 Entrepreneurship: Module of Outstanding Team Management W M S S M v v v v v v
123 Entrepreneurship: Module of Ownership and Legal Entity W M S S M v v v v v v
124 Entrepreneurship: Module of Ethics and Legal Aspects in Business W M S S M v v v v v v
⮍⮏  Humanity Projects
125 Humanity Project: Preparedness and Quick Disaster Response W W M M S v v v v v v
126 Humanity Project: Disaster Recovery Management W W M M S v v v v v v
127 Humanity Project: Tutorial Command Posts and Logistic Management W W M M S v v v v v v
128 Humanity Project: A Digital module of Disaster Management W W M M S v v v v v v
129 Humanity Project: Proposal of Volunteer Project W M S S M v v v v v v
130 Humanity Project: Implementation of Volunteer Project M M S S S v v v v v v
131 Humanity Project: Seminar Class of Volunteer Project W M S S M v v v v v v
⮍⮏  Soft skill and Hard skill
132 Good Communication Training S S v v v v v v
133 Leadership Training M M v v v v v v
134 Teamwork Training M M S v v v v v v
135 Strong Work Ethics and Integrity Training M M S v v v v v v
136 Emotional and Empathy Training M M M S v v v v v v
137 Critical Innovative and Strategic Thinking Training M M S v v v v v v
138 Adaptability Training M M S v v v v v v
139 Public Speaking Training W M M v v v v v v
140 Networking and Partnership Training W M M v v v v v v
141 Negotiation and Conflict Resolution Training W M M v v v v v v
142 Self-Motivated Training W M M v v v v v v
143 Well Organized and Multitasking Training W M M v v v v v v
144 Competitive and Enthusiastic Training M S v v v v v v
145 Time Management Training W M S v v v v v v
146 Planning Training W W M v v v v v v
147 Problem Solving Training W M S S v v v v v v
148 Budgeting Training W M v v v v v v
149 Risk Management Training W M v v v v v v

* S =Strong; M = Medium; W= Weak ** Graduate Profile: CS = Computer Scientist; AIE= Artificial Intelligence Engineer; DS=Data Scientist; SE= Software Engineer; CE= Cloud Engineer; DE= Digital Entrepreneur. *** MBKM Courses are to recognize up to the 20 loads of credit transfer if any of student plan taking the outside campus learning, or the industrial internships mobility which the related to Computer Science Profiles).

BCSP UGM | Course Mapping to Profile

ASIIN Accreditation

  • Certificate
  • Content: Bachelor in Computer Science Program

    • Vision and Mission
    • Program Objectives and Learning Outcomes
    • Graduates Profile and Profession
    • Program Specification
    • Compulsory Courses
    • Elective Courses
    • Internships, MBKM Courses
    • Module Mapping to PLO
    • Curriculum Map
    • Module Handbook
    • Assessment
    • Admission and International Class
    • Registration and Academic Plan
    • International Exposure
    • Double Degree Program
    • Student Exchange
    • University Partnership
    • Industrial Partnerships
    • Staff Handbook
    • List of Internship Students
    • List of International Exposure Students
    • List of UG Thesis
    • Alumni Jobs/Career & Certification
    • Student Activity

    Prospective Students, welcome!


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