（一）数据科学与大数据技术专业必修课程设置及指导性修读计划
课程类别 |
课程编码 |
课程名称 |
学分 |
课内学时 |
课外学时 |
学期 |
备注 |
合计 |
讲授 |
实验 |
上机 |
实践 |
通识教育课程 |
SCC322611010 |
新生研讨课 Freshman Seminar |
1.0 |
16 |
16 |
0 |
0 |
0 |
16 |
1 |
|
CST110211025 |
程序设计（C） Program Design (C) |
2.5 |
40 |
40 |
0 |
(32) |
0 |
0 |
1 |
|
MRX310111030 |
道德与法律 Moral Education and Law |
1 |
16 |
16 |
0 |
0 |
0 |
0 |
1 |
|
SFS110114200 |
高级汉语（2-1） Advanced Chinese (2-1) |
3.0 |
48 |
48 |
0 |
0 |
0 |
0 |
1 |
|
MRX410111030 |
中国概况 Survey of China |
3.0 |
48 |
48 |
0 |
0 |
|
|
1 |
|
SFS110114300 |
高级汉语（2-2） Advanced Chinese (2-2) |
3.0 |
48 |
48 |
0 |
0 |
0 |
0 |
2 |
|
CST110611015 |
大学计算机 Fundamentals of Computer |
1.5 |
24 |
24 |
0 |
(24) |
0 |
0 |
2 |
|
CST110511010 |
程序设计课程设计 Program Design Course Design |
1.0 |
1周 |
0 |
0 |
0 |
1周 |
0 |
S1 |
|
学科基础课程 |
SCC261211055 |
数学分析（A）I Mathematical Analysis(A)I |
5.5 |
88 |
88 |
0 |
0 |
0 |
120 |
1 |
|
SCC260312100 |
高等代数与几何（2-1） Advanced Algebra and Geometry(2-1) |
5.0 |
80 |
80 |
0 |
0 |
0 |
110 |
1 |
|
SCC261311060 |
数学分析（A）II Mathematical Analysis(A)II |
6.0 |
96 |
96 |
0 |
0 |
0 |
120 |
2 |
|
SCC260312200 |
高等代数与几何（2-2） Advanced Algebra and Geometry(2-2) |
5.0 |
80 |
80 |
0 |
0 |
0 |
110 |
2 |
|
SCC322111020 |
数据科学与大数据技术导论 Introduction to Data Science and Big Data Technology |
2.0 |
32 |
32 |
0 |
0 |
0 |
32 |
2 |
|
SCC320111030 |
Python语言与实训 Python Language and Training |
3.0 |
3周 |
0 |
0 |
0 |
3周 |
0 |
S1 |
|
SCC250711040 |
离散数学 Discrete Mathematics |
4.0 |
68 |
56 |
0 |
12 |
0 |
68 |
3 |
|
SCC410111030 |
大学物理 University Physics |
3.0 |
48 |
48 |
0 |
0 |
0 |
48 |
3 |
|
SCC710111010 |
大学物理实验 College Physics Experiment C |
1.0 |
24 |
4 |
20 |
0 |
0 |
0 |
3 |
|
SCC252411030 |
最优化方法 Optimization Method |
3.0 |
52 |
40 |
0 |
12 |
0 |
52 |
3 |
|
SCC210911030 |
概率论 Probability Theory |
3.0 |
48 |
48 |
0 |
0 |
0 |
48 |
3 |
|
SCC220911020 |
随机过程 Random Processes |
2.0 |
32 |
32 |
0 |
0 |
0 |
32 |
4 |
|
SCC322511020 |
探索性数据分析 Exploratory Data Analysis |
2.0 |
32 |
32 |
0 |
0 |
0 |
32 |
4 |
|
SCC251911040 |
数值计算方法 Numerical Calculation Method |
4.0 |
72 |
48 |
0 |
24 |
0 |
72 |
4 |
|
SCC250811030 |
数据结构与算法 Data Structure and Algorithm |
3.0 |
48 |
48 |
0 |
(16) |
0 |
64 |
4 |
|
SCC322911010 |
科研基础训练 BasicTraining of Scientific Research |
1.0 |
24 |
0 |
0 |
24 |
0 |
24 |
7 |
|
专业课程 |
SCC322811040 |
应用统计学 Applied Statistics |
4.0 |
64 |
64 |
0 |
0 |
0 |
64 |
4 |
|
SCC320711040 |
大数据技术基础实训 Fundamental Actual Training of Big Data Technology |
4.0 |
4周 |
0 |
0 |
0 |
4周 |
0 |
S2 |
|
SCC320511030 |
大数据分析与挖掘 Big Data Analysis and Mining |
3.0 |
52 |
40 |
0 |
12 |
0 |
52 |
5 |
|
SCC321211035 |
机器学习 Machine Learning |
3.5 |
60 |
48 |
0 |
12 |
0 |
60 |
5 |
|
SCC320311030 |
并行计算与分布式计算 Parallel Computing and Distributed Computing |
3.0 |
56 |
32 |
0 |
24 |
0 |
56 |
5 |
|
SCC221011030 |
统计计算 Statistical Calculations |
3.0 |
52 |
40 |
0 |
12 |
0 |
52 |
5 |
|
SCC320611020 |
大数据管理 Big Data Management |
2.0 |
32 |
32 |
0 |
0 |
0 |
32 |
6 |
|
SCC320811030 |
大数据技术综合实训 Comprehensive Actual Training of Big Data Technology |
3.0 |
3周 |
0 |
0 |
0 |
3周 |
0 |
S3 |
|
SCC320211150 |
毕业设计 Graduation Project |
15.0 |
15周 |
0 |
0 |
0 |
15周 |
0 |
8 |
|
