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科目代號 |
科目名稱 |
1上 |
1下 |
2上 |
2下 |
3上 |
3下 |
4上 |
4下 |
備註 |
學分 |
時數 |
學分 |
時數 |
學分 |
時數 |
學分 |
時數 |
學分 |
時數 |
學分 |
時數 |
學分 |
時數 |
學分 |
時數 |
專業選修(應修畢至少21學分)
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核心專業選修(開設35學分) |
15701J |
程式設計實務(Programming Language Practice) |
2 |
3 |
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21700S |
程式設計(含實習)(一)(Computer Programming(with practices I) |
3 |
4 |
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21701R |
資料庫管理(Database Management System) |
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3 |
3 |
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21701C |
人工智慧概論(Introduction to Artificial Intelligence) |
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3 |
3 |
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22701H |
行動商務與APP實作(Mobile Commence and APP Programming) |
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3 |
3 |
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21700W |
數據科學概論(Introduction to Data Science) |
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3 |
3 |
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21700Y |
數據計算程式設計(Data Computing and Programming) |
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3 |
3 |
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21700U |
套裝程式與資料分析(Statistical Software and Data Analysis) |
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3 |
3 |
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21701M |
機器學習應用實務(Practical Machine Learning) |
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3 |
3 |
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12702C |
物聯網應用實務(IOT Application Practice) |
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3 |
3 |
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127403 |
人工智慧(Artificial Intelligence) |
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3 |
3 |
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21701O |
深度學習應用實務(Practical Deep Learning) |
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3 |
3 |
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合計
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5 |
7 |
6 |
6 |
0 |
0 |
9 |
9 |
3 |
3 |
0 |
0 |
3 |
3 |
9 |
9 |
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專業選修(開設31學分) |
217107 |
製造程序(Manufacturing Process) |
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3 |
3 |
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215063 |
系統分析與設計(System Analysis and Design) |
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3 |
3 |
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21701J |
生產管理(含實習)(Operations Management) |
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3 |
4 |
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217204 |
企業資源規劃(一)(Enterprise Resources Planning I) |
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3 |
3 |
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21700Z |
多維度數據分析與應用(Multi-dimensional Data Analysis with Applications) |
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3 |
3 |
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217083 |
企業資源規劃(二)(Enterprise Resource Planning II) |
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3 |
3 |
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217028 |
系統模擬(System Simulation) |
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3 |
3 |
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217082 |
供應鏈管理(Supply Chain Management) |
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3 |
3 |
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217411 |
商業智慧概論(Introduction to Business Intelligence) |
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3 |
3 |
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11701W |
塑膠射出成型技術實務(Plastic Injection Molding Technology) |
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1 |
2 |
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21700P |
精實生產(Lean Production) |
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3 |
3 |
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合計
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0 |
0 |
3 |
3 |
6 |
7 |
6 |
6 |
0 |
0 |
0 |
0 |
12 |
12 |
4 |
5 |
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基礎選修課程(開設62學分) |
21700W |
數據科學概論(Introduction to Data Science) |
3 |
3 |
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21700X |
資料結構應用實務(Practical Data Structures) |
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3 |
3 |
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214008 |
統計學(一)(Statistics I) |
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3 |
3 |
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224024 |
統計學(一)(Statistics I) |
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3 |
3 |
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217203 |
統計學(含實習)(二)(Statistics II) |
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3 |
4 |
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22702C |
智慧零售管理(Intelligent Retail Management) |
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3 |
3 |
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224020 |
統計學(二)(Statistics II) |
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3 |
3 |
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22702A |
Python AI應用(Python - Artificial Intelligence Application) |
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3 |
3 |
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217206 |
行動商務應用系統(Mobile Service Application System) |
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3 |
3 |
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21701K |
品質管理(含實習)(Quality Management:Lab) |
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3 |
4 |
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22700A |
數位行銷(Digital Marketing) |
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3 |
3 |
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22700Z |
產業分析(Analysis of Industry) |
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2 |
2 |
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22700Y |
應用統計(Applied Statistics) |
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3 |
3 |
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217407 |
類神經網路與應用(Neural Networks and its applications) |
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3 |
3 |
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217403 |
顧客關係管理(Customer Relationship Management) |
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3 |
3 |
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227048 |
策略管理(Strategic Management) |
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3 |
3 |
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217029 |
運籌管理(Logistic Management) |
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3 |
3 |
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22702I |
數據科學應用(Data Science for Business) |
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3 |
3 |
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217409 |
決策分析(Decision Analysis) |
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3 |
3 |
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217412 |
行動商務(M-Commerce) |
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3 |
3 |
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217401 |
六標準差管理(Six sigma Management) |
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3 |
3 |
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合計
|
3 |
3 |
6 |
6 |
6 |
7 |
15 |
16 |
3 |
3 |
0 |
0 |
5 |
5 |
24 |
24 |
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課程總表備註
|
一、本學分學程最低總學分為20學分,包含外系(含至少6學分不屬於學生主系、輔系課程)。 二、同一門課程不得重複認列學分。 三、學生修課符合本學分學程之修課規定,方發給學分學程證明。 四、工管系學生不得選修經管系統計學(一)、統計學(二)作為專業領域課程學分。 五、經管系學生不得選修工管系統計學(ㄧ)、統計學(含實習)(二)(Statistics(with practices)(II))作為專業領域課程學分。
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通識總表備註
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