（二）智能科学与技术专业选修课程设置及指导性修读计划
课程类别 |
专业方向 |
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 |
学科基础课程 |
|
SCC253221010 |
数学实验 Mathematical Experiment |
1.0 |
24 |
0 |
24 |
0 |
0 |
0 |
3 |
|
SCC251121020 |
数学建模 Mathematical Modeling |
2.0 |
32 |
32 |
0 |
0 |
0 |
0 |
4 |
|
SCC252721020 |
最优化原理 Optimization Method |
2.0 |
32 |
32 |
0 |
0 |
0 |
0 |
4 |
△ |
OSI221621030 |
数字逻辑电路 Digital Logic Circuit |
3.0 |
52 |
40 |
12 |
0 |
0 |
0 |
3 |
|
CST210321020 |
计算方法 Computational Method |
2.0 |
32 |
32 |
0 |
0 |
0 |
32 |
4 |
△ |
CST521721030 |
深度学习基础 Fundamentals of Deep Learning |
3.0 |
56 |
32 |
0 |
24 |
0 |
56 |
5 |
△ |
CST210221020 |
操作系统课程设计 Operating System Curriculum Design |
2.0 |
48 |
0 |
0 |
48 |
0 |
0 |
5 |
△后半学期 |
CST210121025 |
编译原理 Compiler Principles |
2.5 |
40 |
40 |
0 |
0 |
0 |
40 |
6 |
|
CST521221030 |
科研创新实践 Scientific Research and Innovation Practice |
3.0 |
3周 |
0 |
0 |
0 |
3周 |
0 |
7 |
|
专业课程 |
A视觉信息处理 |
CST211221025 |
数字图像处理 Digital Image Processing |
2.5 |
44 |
32 |
0 |
12 |
0 |
0 |
5 |
△ |
CST521321025 |
可视化导论 Introduction to Visualization |
2.5 |
48 |
24 |
0 |
24 |
0 |
48 |
5 |
△ |
CST521821015 |
生成对抗网络与图网络学习 Generative Adversarial Networks and Graph Network Learning |
1.5 |
28 |
16 |
0 |
12 |
0 |
0 |
7 |
|
CST522121015 |
医学图像处理 Medical Image Processing |
1.5 |
28 |
16 |
0 |
12 |
0 |
0 |
7 |
|
CST521621015 |
人类行为识别 Human Behavior Recognition |
1.5 |
32 |
8 |
0 |
24 |
0 |
0 |
7 |
|
TRN020221015 |
机器人技术及实践 Robot Technology and Practice |
1.5 |
32 |
8 |
0 |
24 |
0 |
0 |
6 |
|
MEE310821020 |
人机交互设计 Human-Computer Interaction Design |
2.0 |
32 |
32 |
0 |
0 |
0 |
0 |
6 |
|
B自然语言处理 |
CST522321020 |
自然语言处理 Natural Language Processing |
2.0 |
32 |
32 |
0 |
0 |
0 |
32 |
6 |
△ |
CST522421010 |
自然语言处理课程设计 Curriculum Design of Natural Language Processing |
1.0 |
24 |
0 |
0 |
24 |
0 |
24 |
6 |
△ |
CST510121020 |
大数据技术与应用 Big Data Technology and Application |
2.0 |
40 |
16 |
0 |
24 |
0 |
0 |
6 |
△ |
CST310521020 |
云计算技术与应用 Cloud Computing Technology and Application |
2.0 |
40 |
16 |
0 |
24 |
0 |
0 |
6 |
|
CST521521015 |
群智感知与社会计算 Crowd Sensing and Social Computing |
1.5 |
28 |
16 |
0 |
12 |
0 |
0 |
7 |
|
CST520421015 |
高维信息智能感知系统 High Dimensional Information Intelligent Perception System |
1.5 |
28 |
16 |
0 |
12 |
0 |
0 |
7 |
|
CST522221015 |
知识图谱技术及应用 Knowledge Graph Technology and Application |
1.5 |
28 |
16 |
0 |
12 |
0 |
0 |
7 |
|
选修说明： （1）选修课程要求修满20学分。 （2）备注中带△课程为必选课程。 |
