進階產業英文(一)

臺北科技大學 115-1 學期課程，課號 366289。

課程大綱

本課程提供學生及職前專業人士必備之英語文語言技巧，強調工程專業領域之英文溝通能力之訓練。課程內容依學院專業內容區分並整合英語文之聽說讀寫之能力為未來全球化移動及以英語專業溝通人才培育為目標。 This course aims to provide pre-service engineering students/professionals with the adequate skills of the English language and communicative competence to facilitate their current academic and future career pursuits. Students are encouraged to utilize their domain expertise to participate in professional communication in English. Centered on the training of professional use of the English language, the ESP curriculum as the crux of a highly-integrated work of domain knowledge and the English learning development embodies the indispensable credentials required for a global profession.

課程進度

The following schedule may be adjusted according to students’ learning needs, actual teaching progress, class performance, and the university calendar. Week 1: Course orientation; introduction to professional English for information and new technology; diagnostic speaking and writing activity. Week 2: Unit 1 Big Data — Introduction to big data, data use, and technology-related vocabulary; discussion: What is big data and how do we use it? Week 3: Unit 1 — Reading and listening practice on types of big data and their uses; speaking task: explaining one example of data use in daily life or industry. Week 4: BESTEP skill focus — posters, flyers, and maps; summarizing and responding to visual information in English. Week 5: Unit 2 Artificial Intelligence — Human, animal, and non-biological intelligence; reading and discussion on artificial intelligence. Week 6: Unit 2 — Uses of AI; speaking task: discussing an AI-driven technology; writing task: describing the benefits and risks of an AI application. Week 7: BESTEP skill focus — tables and numerical data; reporting common numbers, describing data, and comparing figures in English. Week 8: Unit 3 Robotics — Robotics and improving human life; reading and discussion on the history and development of robotics. Week 9: Midterm Exam Week — Midterm assessment based on Units 1–3 and BESTEP-related skills, including reading comprehension, vocabulary, data description, and a short speaking or writing task. Week 10: Unit 3 — Advances in robotics; listening and speaking task: explaining the function of a programmable robot or robotic system. Week 11: BESTEP skill focus — pie charts and bar charts; presenting survey results, describing proportions, and comparing responses from different groups. Week 12: Unit 4 Hackers and Internet Security — Introduction to internet security, hackers, ransomware, and online safety. Week 13: Unit 4 — Good and bad hackers; discussion and writing task: explaining a computer security problem and proposing possible solutions. Week 14: Unit 5 Problem Solving — Identifying and solving problems; reading and discussion on facing uncertainties and making positive changes. Week 15: BESTEP skill focus — flowcharts and process description; explaining a problem-solving process step by step. Week 16: Unit 6 DNA Testing and Family History — DNA research, DNA testing, and personal information; discussion: How important is a person’s DNA? Week 17: Unit 6 — A DNA test; writing workshop: explaining advantages, disadvantages, and ethical concerns related to DNA testing or personal data. Week 18: Final assessment — short oral presentation and written response based on an information technology topic with one visual aid, such as a table, chart, graph, diagram, or flowchart; course reflection.

評量方式

Attendance and participation: 20%. Students are expected to attend class regularly and participate actively in pair work, group discussion, textbook activities, BESTEP-style tasks, and speaking practice. Vocabulary, reading, listening, and in-class exercises: 25%. Students will complete textbook-based vocabulary exercises, reading and listening tasks, grammar practice, and visual-information activities involving tables, charts, graphs, and diagrams. Homework and preparation: 20%. Assignments may include vocabulary review, short reading responses, listening notes, data description practice, short recordings, paragraph writing, and preparation for discussions or presentations. Midterm assessment: 15%. The midterm assessment will be based on Units 1–3 and may include reading comprehension, technology-related vocabulary, numerical data description, and a short oral or written task. Final assessment: 20%. The final assessment may include a short presentation and a written response based on an information technology topic. Students will be evaluated on clarity, organization, accuracy, appropriate use of technology-related vocabulary, and ability to explain textual and visual information.

教材

【遵守智慧財產權觀念，請使用正版教科書，不得使用非法影印教科書】 使用外文原文書：是 Required textbook: Kenny, Sean, Eric Sabatino, and Jacalyn Bondar. Capstone: English for Information and New Technology. Crane Publishing. This is a year-long course. This semester will cover Units 1–6 only. Units 7–12 will be reserved for the second semester. Supplementary BESTEP-oriented academic English materials: EAP Power Up: Synthesizing Textual and Visual Information for Academic Success. Supplementary materials may include instructor-designed worksheets, vocabulary lists, speaking task sheets, writing templates, chart-description exercises, short readings, assessment rubrics, and selected online or classroom materials.