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Thai-Nichi Institute of Technology Student Handbook 2019 International Program
DSA-447 Machine Learning 3(3-0-6)
Prerequisite : DSA-301 Business Data Mining
Corequisite : None
Necessary 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 useful 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 : None
Storytelling 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 : None
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 : None
For 16 weeks, students learn to work and solve problems in an industrial factory
or at other organizations under faculty approval. The students would gain more experience
in their major and be capable of applying knowledge to actual operations and developing
professional skills, moral and ethical or behavior and character. Students have to report and
present the solution to the problems for the working places to the faculty.