Course Desc<x>ription:
<br>The course aims to raise issues in contrastive analysis of, specifically, 
<br>English and Chinese, though other languages may be included when the context is 
<br>appropriate. Although the theory of contrastive analysis today is not as popular 
<br>as that in its heyday, comparing languages and using the results in language 
<br>teaching is still rewarding. Students are expected to appreciate the 
<br>similarities and differences of English and Chinese in various aspects and use 
<br>the knowledge in course design.
<br>
<br>References: 
<br>Huang, Han-Chun. 2023. Contrastive Analysis. Unpublished manusc<x>ript. 
<br>Kroeger, Paul R. 2005. Analyzing Grammar: An Introduction. Cambridge: Cambridge University Press.
<br>
<br>Teaching Method: 
<br>In addition to topics in the textbook, some issues not covered by the textbook 
<br>will be tackled using a series of papers. Basic concepts are reviewed in the 
<br>first half of the semester. The achievements are evaluated with a midterm exam. 
<br>In the second half of the semester, students are required to focus on a specific 
<br>topic and do research on that topic. The performances are evaluated in the final 
<br>presentation.
<br>
<br>Syllabus:
<br>W1: Intro/Language Family (Chs 1,2, Huang 2023)
<br>W2: Phonetics (Ch 3, Huang 2023)
<br>W3: Phonology (Ch 4, Huang 2023)
<br>W4: Morphology (Ch 5, Huang 2023)
<br>W5: Constituent structure (Ch 3, Kroeger 2005)
<br>W6: Semantic roles and grammatical relations (Ch. 4, Kroeger 2005)
<br>W7: Lexical entries and well-formed clauses (Ch. 5, Kroeger 2005)
<br>W8: Midterm exam
<br>W9: Using corpora for language learning/teaching
<br>W10: Linggle: An online collocation search engine
<br>W11: Collocation / Concordancer (AntConc) 
<br>W12: Python in a nutshell (I)
<br>W13: Python in a nutshell (II)
<br>W14: Python in a nutshell (III)
<br>W15: Review
<br>W16: Final term paper presentation
<br>
<br>Evaluation:
<br>Attendance and Participation 20%
<br>Homework: 20%
<br>Midterm exam 30%
<br>Final presentation: 30%
<br>
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<br>生成式人工智慧倫理聲明：禁止使用
<br>
<br>經仔細考量後，本課程授課教師認為不宜於此門課程當中使用生成式人工智慧於課堂學習當中。因本
<br>課程的內容於生成式AI中尚有諸多錯誤，且容易影響學生對基礎核心知識之判讀。
<br>
<br>根據本校公布之佈的「大學教育場域AI協作、共學與素養培養指引」，本門課程採取禁止使用，以
<br>下為相關的監管機制
<br>
<br>修讀本門課程之學生應注意本門課不得繳交使用生成式人工智慧所產出的作業、報告或個人心得。若
<br>經查核發現，教師、學校或相關單位有權重新針對作業或報告重新評分或不予計分。
<br>修讀本課程之學生於選課時視為同意以上倫理聲明。
<br>