Tin sinh học ứng dụng tiếng Anh

<span class='text_page_counter'>(1)</span>SH03005 : APPLIED BIOINFORMATIC (TIN SINH HỌC ỨNG DỤNG) Credits: 2 credits (Lecture: 2 – Practice: 1) EXPECTED LEARNING OUTCOMES COURSE EXPECTED LEARNING OUTCOMES After successfully completing this course, students are able to. Expected learning outcomes of program. Analysis of bioinformatics data for management, production and business related to biotechnology.. ELO2. Course objectives Knowledge CELO1 Skills. Applying skills to collect, analyze and process information on DNA, protein ... for CELO2 scientific research. Personal autonomy and responsibility CELO3. Proactively update and accumulate knowledge and experience to improve professional qualifications. CONTENT. Diacetylchitobiose. • Attendance: All students attending this. • Chapter 1: Introduction to Bioinformatics. module must attend properly and fully. • Chapter 2: Biological basis of bioinformatics. according to the current regulations on. • Chapter 3: Internet and assisted tools for searching study materials • Chapter 4: Biological databases. teaching and learning under the current credit system of VNUA.. • Chapter 6: Get familiar with biological database analysis tools • Chapter 7: Datamining and data analysis. LECTURERS. books and references before attending. LEARNING METHODS. the class.. participate in the exercises, missing 1 session or more are not eligible for. 1. Assoc. Prof. Nguyen Duc Bach (0983926497, Thuy. (0989644779, ). • Final exam: Students must take the. • For online learning: Students need to install online learning software and fulfill. the. learning.. references before attending the class.. requirements. in class and perform other learning activities such as making question and. final exam and meet requirements.. ). • Self-study: Read lecture notes, books and. • Students are required to listen to lectures. mid-term test.. Thu.  Formative assessment: 30%. are required to read lecture notes, text. • Mid-term exam: Students must take 01. Thi.  Attendance: 10 %.  Final exam: 60%. exams.. Trinh. • Weighting:. • Practice in class: students who fully. • Chapter 8: Softwares for biological data analysis. McS.. • Grading: 10 marks. • Preparation for the lecture: Students. • Chapter 5: Sequencing and sequence submission; Genome browsers. 2.. ELO15. ASSESSMENT METHODS. STUDENT TASKS Triacetylchitotriose. ELO10. for. online. discussion in the class • Join all the practice lessons • Team working • Online study.

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