ENGG 1003 數碼素養及計算思維—P Digit. Lit. & Comp. Thinking—P

 

Course Code	ENGG 1003 ENGG1003			科目名稱		Digit. Lit. & Comp. Thinking—P 數碼素養及計算思維—P
教員	Dr. LAM King Tin [官方介紹及學術著作]			學　　分		3學分
課程性質	大學通識基礎			同科其他選擇		Dr. SUM Kwok Wing
Workload	l   非PAPER類HOMEWORK l   Project								好重
									重	1
									平均
									輕
									極輕
評價教學內容	#1 有部分功課好簡單半個鐘做完 亦有啲要做幾個鐘 功課有時會出現冇教過嘅嘢
評價教員教學	#1 有部分功課好簡單半個鐘做完 亦有啲要做幾個鐘 功課有時會出現冇教過嘅嘢
CUSIS科目資料	Description： This is an introductory level course on digital literacy and its applications. The course first covers basic information technology skills and spreadsheet usage. Then basic statistics and data science concepts for working with data from digital sources will be introduced. Computational thinking techniques for solving problems with data (e.g., automation, textual analysis, data visualization, etc.) will be covered. Demonstrations on solving real-life problems creatively will be provided. Case studies in social media usage will be included to illustrate how to interpret data properly and identify false information. The course focuses on hands-on practices using relevant software toolboxes, without covering the inner-working details.   Learning Outcome： Upon successful completion of the course, students will be able to l   use spreadsheet to organize and process data; l   describe the importance of information security and data privacy; l   apply methods and tools to obtain and use data properly; l   solve problems in a computational thinking style; l   process and analyse textual data using software packages; l   interpret and present data accurately to suit different application scenarios.
其他資料	2023Sem1：學位 60|註冊 59|剩餘 1 2023Sem1：學位 60|註冊 60|剩餘 0
同學推薦	高度推薦		推薦		1	有保留		極有保留

ENGG 2760 概率及其工程應用 Probability for Engineers

 

Course Code	ENGG 2760 ENGG2760			科目名稱		Probability for Engineers 概率及其工程應用
教員	Professor Farzan FARNIA [官方介紹及學術著作]			學　　分		2學分
課程性質	CS系必修			同科其他選擇
Workload	l   TUTORIAL / PRESENTATION l   MIDTERM l   FINAL EXAM								好重
									重
									平均
									輕	1
									極輕
評價教學內容	#1個prof會upload片上blackboard，所以可以唔洗上堂 同埋佢每次嘅quiz都係抄hw嘅2條題目，基本上只要背咗solution就可以喺quiz拎滿分（我呢年因為midterm好簡單，個mean都到80幾分，都有唔少人拎滿分）
評價教員教學	#1都教得ok
CUSIS科目資料	Description： A first course in the fundamentals of probability theory and their applications in engineering. Topics include sample space and events, counting, axioms of probability, conditional probability, independence of events, discrete and continuous distributions, random variables, joint distributions, and limit theorems.   Learning Outcome： At the conclusion of the course, students should be able to 1. define and understand the fundamental concepts in probability  2. identify, formulate, and solve simple engineering problems involving randomness
其他資料	2023Sem1：學位 128|註冊 105|剩餘 23
同學推薦	高度推薦		推薦		1	有保留		極有保留

ENGG 1003 數碼素養及計算思維—P Digit. Lit. & Comp. Thinking—P

 

Course Code	ENGG 1003 ENGG1003			科目名稱		Digit. Lit. & Comp. Thinking—P 數碼素養及計算思維—P
教員	Dr. SUM Kwok Wing [官方介紹] [學術著作]			學　　分		3學分
課程性質	大學必修			同科其他選擇		Dr. LAM King Tin
Workload	l   非PAPER類HOMEWORK l   online assignments								好重
									重
									平均
									輕	1
									極輕
評價教學內容	#1 有用。3學分咁多，應該要計grade，只計DI/PA太簡單，可以好hea都得，幫唔到訓練基本用電腦能力
評價教員教學	#1 無聊
CUSIS科目資料	Description： This is an introductory level course on digital literacy and its applications. The course first covers basic information technology skills and spreadsheet usage. Then basic statistics and data science concepts for working with data from digital sources will be introduced. Computational thinking techniques for solving problems with data (e.g., automation, textual analysis, data visualization, etc.) will be covered. Demonstrations on solving real-life problems creatively will be provided. Case studies in social media usage will be included to illustrate how to interpret data properly and identify false information. The course focuses on hands-on practices using relevant software toolboxes, without covering the inner-working details.   Learning Outcome： Upon successful completion of the course, students will be able to use spreadsheet to organize and process data; describe the importance of information security and data privacy; apply methods and tools to obtain and use data properly; solve problems in a computational thinking style; process and analyse textual data using software packages; interpret and present data accurately to suit different application scenarios.
其他資料	2223Sem1：學位 60|註冊 60|剩餘 0 2223Sem1：學位 60|註冊 60|剩餘 0 2223Sem2：學位 60|註冊 52|剩餘 8
同學推薦	高度推薦	1	推薦			有保留		極有保留