计算机学院2019级智能科学与技术专业培养方案 |
十、教学活动安排表 |
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1.理论教学活动安排表 |
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课程类型 |
课程 编号 |
课程名称 |
学分 |
学时 |
其中 |
各学期计划学分 |
备注 |
课外 |
实验 |
上机 |
1 |
2 |
3 |
4 |
5 |
6 |
7 |
8 |
公
共
教
育
课 |
2100001030 |
思想道德修养与法律基础 |
3 |
48 |
16 |
|
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3 |
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Morals and Ethics & Fundamentals of Law |
|
2100002020 |
中国近现代史纲要 |
2 |
32 |
8 |
|
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2 |
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Chinese Modern History Compendium |
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2100003060 |
毛泽东思想和中国特色社会主义理论体系概论 |
6 |
96 |
32 |
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6 |
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General Introduction to Mao Zedong Thought and Theoretical System of Socialism with Chinese Characteristics |
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2100004030 |
马克思主义基本原理 |
3 |
48 |
16 |
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3 |
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Marxist Philosophy |
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2100051002 |
形势与政策 |
2 |
128 |
64 |
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0.2 |
0.3 |
0.2 |
0.3 |
0.2 |
0.3 |
0.2 |
0.3 |
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Situation and Policy |
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2110001030 |
大学英语-1 |
3 |
48 |
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3 |
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College English Language I |
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2110001040 |
大学英语-2 |
4 |
64 |
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4 |
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College English Language II |
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2110001020 |
大学英语-3 |
2 |
32 |
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2 |
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College English Language III |
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2130001010 |
体育 |
2 |
64 |
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1 |
1 |
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Physical Education I |
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1050004010 |
军事理论 |
1 |
16 |
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1 |
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Military Theory |
|
2110237015 |
大学语文 |
1.5 |
24 |
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1.5 |
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College Chinese Literature and Language |
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公共教育课小计 |
29.5 |
600 |
136 |
0 |
0 |
8.2 |
8.8 |
8.2 |
3.3 |
0.2 |
0.3 |
0.2 |
0.3 |
|
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2120011055 |
高等数学（一）-1 |
5.5 |
88 |
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5.5 |
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Advanced Mathematics (I) I |
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2120012055 |
高等数学（一）-2 |
5.5 |
88 |
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5.5 |
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Advanced Mathematics (I) II |
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11050(1-2) |
大学物理（一） |
7 |
112 |
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3.5 |
3.5 |
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General physics |
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2120088020 |
物理实验（一）-1 |
2 |
32 |
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32 |
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2 |
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Physics Expriment (I) I |
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2120098015 |
物理实验（一）-2 |
1.5 |
24 |
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24 |
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1.5 |
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Physics Expriment (I) II |
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2120199025 |
线性代数 |
2.5 |
40 |
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2.5 |
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linear Algebra |
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2120024030 |
概率论与数理统计（一） |
3 |
48 |
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3 |
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Probability and Statistics |
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2060001045 |
计算机科学与编程导论 |
4.5 |
72 |
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22 |
4.5 |
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教学方法改革课程 |
Introduction Of Computer Sci & Programming |
1160008010 |
大学生就业指导 |
1 |
16 |
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1 |
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Employment guidance for College Students |
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1050006010 |
大学生心理健康教育 |
1 |
16 |
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1 |
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Mental Health Education |
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通识教育必修课小计 |
33.5 |
536 |
0 |
56 |
22 |
10 |
13.5 |
8 |
0 |
0 |
0 |
1 |
0 |
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2060002035 |
计算机组成原理 |
3.5 |
56 |
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10 |
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3.5 |
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Principle of Computer Org. |
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2060003030 |
离散数学 |
3 |
48 |
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3 |
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Discrete Mathematics |
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2060004030 |
面向对象程序设计 |
3 |
48 |
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16 |
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3 |
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教学方法改革课程 |
The OOP Language Programming |
2060005035 |
操作系统 |
3.5 |
56 |
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10 |
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3.5 |
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Operating System |
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2060006030 |
数字逻辑 |
3 |
48 |
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10 |
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3 |
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Digital Logic Circuit |
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2060007040 |
数据结构 |
4 |
64 |
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24 |
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4 |
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教学方法改革课程 |
Data Structures |
2060008030 |
数据库原理及应用 |
3 |
48 |
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10 |
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3 |
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Prin.and App.of Database |
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2060009030 |
软件工程 |
3 |
48 |
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12 |
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3 |
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Software Engineering |
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2060010035 |
计算机网络 |
3.5 |
56 |
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10 |
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3.5 |
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Computer Networks |
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学科基础课小计 |
29.5 |
472 |
0 |
20 |
82 |
0 |
3 |
10 |
10 |
3.5 |
3 |
0 |
0 |
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专
业
核
心
课 |
2069101020 |
人工智能基础 |
2 |
32 |
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10 |
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2.5 |
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Foundation of Artificial Intelligence |
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2069102020 |
自然语言处理 |
2 |
32 |
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8 |
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2 |
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双语 |
natural language processing |
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2069103020 |
嵌入式系统开发 |
2 |
32 |
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8 |
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2 |
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Embedded system development |
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2069104020 |
算法分析与设计 |
2.5 |
40 |
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10 |
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2.5 |
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Algorithm Analysis and Design |
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2069105020 |
数字图像处理与分析 |
2 |
32 |
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10 |
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2 |
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双语 |
Digital Image processing and analysis |
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专业核心课小计 |
10.5 |
168 |
0 |
0 |
46 |
0 |
0 |
0 |
2.5 |
4.5 |
4 |
0 |
0 |
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专
业
课 |
2069202040 |
脑与认知基础 |
1 |
16 |
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1 |
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绿色工业课程 |
Brain and cognitive basis |
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2069202020 |
数据挖掘 |
2 |
32 |
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10 |
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2 |
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双语 |
Data Mining |
2069203020 |
神经网络与深度学习 |
2 |
32 |
|
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8 |
|
|
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2 |
|
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Neural Networks and Deep Learning |
|
2069204030 |
Python程序设计 |
2 |
32 |
|
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8 |
|
|
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2 |
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Program with Python |
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2069205030 |
机器学习 |
3 |
48 |
|
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12 |
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3 |
|
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Machine Learning |
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2069206010 |
工程伦理和人工智能前沿讲座 |
1 |
16 |
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1 |
|
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Advanced lectures on artificial intelligence |
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专业课小计 |
11 |
176 |
0 |
0 |
38 |
0 |
0 |
0 |
2 |
5 |
3 |
0 |
0 |
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专
业
选
修
课 |
2069301020 |
Oracle数据库设计 |
2 |
32 |
|
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10 |
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2 |
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Oracle Database Design |
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2069302020 |
信息安全概论 |
2 |
32 |
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10 |
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2 |
|
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Introduction of Information Security |
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2069203020 |
大数据处理 |
2 |
32 |
|
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10 |
|
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2 |
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Big data processing |
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2069304020 |
Opencv计算机视觉 |
2 |
32 |
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10 |
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2 |
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Opencv computer vision |
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2069305020 |
计算智能 |
2 |
32 |
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10 |
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2 |
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computational intelligence |
双语 |
专业选修课选修要求 |
4 |
96 |
|
10 |
30 |
0 |
0 |
0 |
0 |
0 |
0 |
4 |
0 |
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通
识
选
修
课 |
基础科学 |
1 |
16 |
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艺术与人文科学 |
1 |
16 |
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经济与管理 |
1 |
16 |
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绿色课工业课程 |
2 |
32 |
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在生态文明（1学分），清洁生产（1学分），低碳经济（1学分），可持续发展与循环经济（1学分）等四门课程中选修2学分 |
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2130003010 |
兴趣体育选修课-1 |
1 |
32 |
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1 |
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2130004010 |
兴趣体育选修课-2 |
1 |
32 |
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1 |
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2010284010 |
创新理论基础 |
1 |
16 |
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4或5学期选修 |
1160009020 |
大学生创业基础 |
2 |
32 |
|
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5或6学期选修 |
通识教育选修课选修要求 |
10 |
192 |
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2.集中实践教学安排表 |
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课程性质 |
课程
编号 |
课程名称 |
学分 |
周数 |
其中 |
各学期计划学分 |
备注 |
课外 |
实验 |
上机 |
1 |
2 |
3 |
4 |
5 |
6 |
7 |
8 |
基
础
实
践 |
1050011020 |
军事训练 |
2 |
2 |
|
|
|
2 |
|
|
|
|
|
|
|
|
Military Training |
2020609020 |
电子实习（一） |
2 |
2 |
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2 |
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Practice Of Electronics I |
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2010517020 |
金工实习（一） |
2 |
2 |
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2 |
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Metalworking Practice I |
基础实践小计 |
6 |
6 |
0 |
0 |
0 |
2 |
0 |
2 |
2 |
0 |
0 |
0 |
0 |
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2064001010 |
计算机科学与编程导论课程设计 |
1 |
1 |
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1 |
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Introduction Of Computer Sci & Programming Course Exercise |
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2064112010 |
面向对象程序设计课程设计 |
1 |
1 |
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1 |
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The OOP Language Programming Course Exercise |
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2064002010 |
数据结构课程设计 |
1 |
1 |
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1 |
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Data Structure Course Exercise |
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2064003040 |
Python程序设计课程设计 |
1 |
1 |
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1 |
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Python Programming Design Practice |
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2064004010 |
数字逻辑课程设计 |
1 |
1 |
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1 |
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Digital Logic Course Exercise |
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2064006010 |
神经网络与深度学习课程设计 |
1 |
1 |
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1 |
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Neural Networks and Deep Learning Design Practice |
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2064005020 |
嵌入式系统开发课程设计 |
1 |
1 |
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1 |
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Embedded System Development Design Practice |
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专业实践小计 |
7 |
5 |
0 |
0 |
0 |
1 |
0 |
2 |
0 |
2 |
|
0 |
0 |
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综
合
实
践 |
2064104040 |
生产实习 |
4 |
4 |
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4 |
|
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集中实践 |
Production Practice |
2064108130 |
毕业设计 |
13 |
13 |
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13 |
|
Graduation Design |
2064110020 |
工业视觉系统设计与开发 |
2 |
2 |
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2 |
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Design and development of industrial vision system |
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|
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|
综合实践小计 |
19 |
19 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
4 |
2 |
13 |
|
集中实践教学小计 |
32 |
30 |
0 |
0 |
0 |
3 |
0 |
4 |
2 |
2 |
4 |
2 |
13 |
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湖北工业大学校园美景
