SARJANA MATEMATIKA

Courses Mapping with ILOs

Semester No Subjects Credit Learning Outcomes
SKS ECTS Knowledge Ability Competence Social
ILO 1 ILO 2 ILO 3 ILO 4 ILO 5 ILO 6 ILO 7 ILO 8 ILO 9
I 1 Religion 2 3.2 H H
2 Pancasila 2 3.2 H H
3 Indonesian Language 2 3.2 H H
4 Civics 2 3.2 H H
5 Basic Mathematics I 3 3.2 M M
6 Basic Physics 2 3.2 L L M M
7 Basic Chemistry 2 3.2 L L M M
8 Basic Biology 2 3.2 L L M M
9 Mathematical Logic and Set Theory 3 4.8 M M M L
II 10 Maritime Social Culture Insight 2 3.2 H H
11 English 2 3.2 L H H
12 Statistical Methods 3 4.8 M M M M
13 Algorithms and Programming 4 6.4 M H M L
14 Discrete Mathematics 3 4.8 M M M
15 Linear Algebra I 3 4.8 M M M M
16 Basic Mathematics II 3 4.8 M M
III 17 Entrepreneurship 2 3.2 L M H H
18 Introduction to Real Analysis 3 4.8 H M M M
19 Ordinary Differential Equations 3 4.8 H M M L
20 Numerical Methods 3 4.8 M M H M M
21 Graph Theory 3 4.8 M M M M
22 Probability Theory 3 4.8 H M M M
23 Advanced Mathematics 4 6.4 H M M
24 Linear Algebra II 3 4.8 M M M M
IV 25 Number Theory 3 4.8 H M M
26 Economic and Financial Mathematics 3 4.8 M M H
27 Calculus of Variations 3 4.8 M H M
28 Coding Theory 3 4.8 M M H
29 Dynamical Systems 3 4.8 M H M
30 Finite Difference Methods 3 4.8 M M H H
31 Algebraic Structures 3 4.8 H H H H
32 Mathematical Statistics 3 4.8 H H H H
33 Mathematical Modeling 3 4.8 M M H M H
34 Operation Research 3 4.8 M M M M
35 Partial Differential Equations 3 4.8 H M H L
36 Real Analysis 3 4.8 M H H
V 37 Special Topics in Applied Mathematics 3 4.8 H H H
38 Special Topics in Combinatorics 3 4.8 H H H H
39 Special Topics in Analysis 3 4.8 H H H H
40 Special Topics in Algebra 3 4.8 H H H
41 Measure Theory and Probability 3 4.8 H H H
42 Mathematical Biology 3 4.8 H H H
43 Cryptography 3 4.8 M H H M
44 Introduction to Functional Analysis 3 4.8 H H H
45 Insurance Mathematics 3 4.8 H H
46 Optimization 3 4.8 H H M H
47 Introduction to Digital Processing 3 4.8 M M M
48 Control Theory 3 4.8 M M M
49 Learning and Teaching 3 4.8 H M M L
50 Computational Mathematics 3 4.8 M M H H
51 Boundary Element Methods 3 4.8 M M H H
52 Machine Learning 3 4.8 M H M H M
53 Complex Functions 3 4.8 H H H
54 Stochastic Processes 3 4.8 H M H M H
55 Geometry 3 4.8 H M M
VI 56 Student Community Service 4 6.4 H H H
57 Communication and Collaboration 2 3.2 H H
58 Activity Management 2 3.2 H H
59 Negotiation Strategy 2 3.2 H H
60 Active Learning 2 3.2 M M M H H
61 Digital Communication 2 3.2 M
62 Social Empathy 2 3.2 H H
63 Cultural Diversity 2 3.2 H H
64 Community Development 2 3.2 H H
65 Startup Entrepreneurship 4 6.4 L L H H
66 Startup Entrepreneurship 2 3.2 L L H H
67 Innovation Leadership 2 3.2 L L H H
68 Decision Making 2 3.2 H H
69 Problem Solving 2 3.2 L L H H
70 Professional Ethics 2 3.2 H H
71 Critical and Creative Thinking 2 3.2
72 Solution-Oriented Creativity 2 3.2 L L H H
73 Talent Development 2 3.2 H H
74 Scientific Literacy and Presentation 2 3.2 M M M H H
75 Internship / Work Practice 2 3.2 L L H H
76 Internship / Work Practice 3 4.8 L L H H
77 Internship / Work Practice 4 6.4 L L H H
78 Internship / Work Practice 6 9.6 L L H H
79 Internship / Work Practice 9 14.93 L L H H
80 Independent Study / Project 2 3.2 L L H H
81 Independent Study / Project 4 6.4 L L H H
82 Independent Study / Project 6 9.6 L L H H
83 Independent Research 20 32 M M H H H M L
84 Creativity and Innovation Development 20 32 L L H H
85 Leadership and National Defense Character 20 32 H H
86 Welfare for Indonesian Migrant Workers 20 32 H H
87 Entrepreneurship Development and Empowerment 20 32 H H
88 Industry/Business Practice 20 32 H H
89 Humanistic Character Development 20 32 H H
90 Communication and Social Interaction 20 32 H H
VII 91 Research and Thesis Result Seminar 4 6.4 H H H H H H
92 Thesis Writing and Final Examination 4 6.4 H H H H H H
VIII 93 Research and Thesis Result Seminar 4 6.4 H H H H H H
94 Thesis Writing and Final Examination 4 6.4 H H H H H H

Notes:

  • H = High contribution/correlation to the ILOs achievement.
  • M = Medium contribution/correlation to the ILOs achievement.
  • L = Low contribution/correlation to the ILOs achievement.

Mapping of Subject-Specific Criteria of ASIIN with the Intended Learning Outcomes

Subject-Specific Criteria of ASIIN Intended Learning Outcomes of Bachelor Program in Mathematics
Knowledge Ability Competence Social
ILO 1 ILO 2 ILO 3 ILO 4 ILO 5 ILO 6 ILO 7 ILO 8 ILO 9
Knowledge SSC 1 Students possess profound knowledge of the fundamentals of abstract and applied mathematical objects. ✓ ✓
SSC 2 Students are able to identify and explain the quality of simple mathematical problems. ✓ ✓
SSC 3 Students are able to generalize simple mathematical problems. ✓ ✓
Ability SSC 4 Students are able to use fundamental mathematical statements to solve simple mathematical problems. ✓ ✓
SSC 5 Students are able to formulate fundamental mathematical hypotheses. ✓ ✓
SSC 6 Students are able to recognize the formal structure of simple mathematical problems. ✓ ✓
Competence SSC 7 Students are able to Formally and correctly prove simple mathematical statements with facts and methods that students are familiar with. ✓ ✓
SSC 8 Students are able to master fundamental strategies for transferring methods in the area of Mathematics. ✓ ✓
SSC 9 Students are able to implement simple mathematical processes on the computer. ✓ ✓
SSC 10 Within the framework of Bachelor activities, works on a simple and clearly defined scientific task and are able to present the results orally and in writing adequately in the area of abstract or applied mathematics or from a minor subject with a large mathematical proportion. ✓ ✓ ✓ ✓
Prodi SARJANA MATEMATIKA

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