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DSA-447 Machine Learning 3(3-0-6)
Prerequisite : DSA-301 Business Data Mining
Corequisite : No
Essential steps for creating a machine learning model. Concepts of machine learning and
three types of learning: supervised learning, unsupervised learning, and reinforcement learning.
Algorithms for classification. A popular library (API) that implements several machine learning
algorithms such as Scikit-learn. Data preprocessing to build a good quality training data set.
Compressing data for dimensionality reduction. Model evaluation and parameter tuning.

DSA-448 Data Visualization 3(3-0-6)
Prerequisite : DSA-410 Data Analysis and Modeling
Corequisite : No
Story telling with Data, Handling data, gathering data, and formatting data, Choosing tools
to visualize Data, Visualizing patterns over time, Visualizing proportions, Visualizing relations,
Spotting the difference, Visualizing spatial relationships, Graphing and plotting tools such as
matplotlib and ggplot2 packages

DSA-491 Pre-Cooperative Education 1(1-0-2)
Prerequisite : Considered and approved by the DSA program
Corequisite : No
Basics and concept of cooperative education, process and steps of cooperative education,
regulations and orders for cooperative education, knowledge related preparation, professional skill,
and essential moral before going to cooperate at the working places

DSA-492 Cooperative Education 6(0-40-10)
Prerequisite : DSA-491 Pre-Cooperative Education
Corequisite : No
Operate and solving problems in the working places during the 16 weeks in industrial
factory or other working places under faculty approval, so as to students gain more experience in
studying field and be capable of applying knowledge to actual operations, develop professional
skills, moral and ethical or behavior and character that essential to work, students have to report the
problem solvents for the working places to the faculty together with the presentation.