Semester  Spring Semester, 2020  
Department  Social Networks and HumanCentered Computing, First Year Social Networks and HumanCentered Computing, Second Year  
Course Name  Data Science  
Instructor  CHANG JIAMING  
Credit  3.0  
Course Type  Elective  
Prerequisite 
Course Objective 
Course Description 
Course Schedule 
Week01  Sep. 18What is data science? big data? deep learning? Three components: data, modeling, evaluation Data science platforms
?Supporting Materials
?Number of hours invested per week = 6 hours Week02  Sep. 25Version control system by Github ?Supporting Materials
?Number of hours invested per week = 6 hours Week03  Oct. 02Specificity, sensitivity, recall, Fscore Receiver operating characteristic curve, AUC Statistical significance : pvalue, false discovery rate ?Supporting Materials
?Number of hours invested per week = 6 hours Week04  Oct. 09Crossvalidation Bootstrap and jackknife sampling Bias, variance, overfitting ?Supporting Materials?
?Number of hours invested per week = 6 hours Week05  Oct. 16 ?Principal component analysis (PCA), correspondence analysis (CA) Probabilistic latent semantic analysis
Supporting Materials
?Number of hours invested per week = 6 hours Week06  Oct. 23?Probabilistic and idealdata models Character/parsimonybased methods ?Supporting Materials
?Number of hours invested per week = 6 hours Week07  Oct. 30charts, graphs, networks, maps ?Interactive visualizations  Shiny app Supporting Materials
?Number of hours invested per week = 6 hours Week08  Nov. 06 Workflow: scripts Exploratory Data Analysis Workflow: projects Data import Supporting Materials
?Number of hours invested per week = 18 hours Week09  Nov. 13Closed book except to one A4 notes Week10  Nov. 20Clustering analysis Association rule Supporting Materials
?Number of hours invested per week = 6 hours Week11  Nov. 27Memorization methods? Supporting Materials
?Number of hours invested per week = 6 hours Week12  Dec. 04Linear regression ?Supporting Materials
?Number of hours invested per week = 6 hours Week13  Dec. 11Logistic regression ?Supporting Materials
?Number of hours invested per week = 6 hours Week14  Dec. 18Generalized Additive Models Supporting Materials
?Number of hours invested per week = 6 hours Week15  Dec. 25Decision Tree & Random forest Supporting Materials
?Number of hours invested per week = 6 hours Week16  Jan. 01 2019 Holiday
Week17  Jan. 08Kernel Methods SVM Supporting Materials
?Number of hours invested per week = 24 hours Week18  Jan. 15 
Teaching Methods 
Teaching Assistant 

Requirement/Grading 

Textbook & Reference 

Urls about Course 
http://www.changlabtw.com/1082datascience.html 
Attachment 