Transcript now
Course Introduction 070137801 Advanced Information Modeling and Database System แบบจำลองสำรสนเทศและระบบฐำนข้ อมูลขันสู ้ ง Monday 13.00 – 16.00? แบบจำลองสำรสนเทศ แนวคิดของระบบฐำนข้ อมูล สถำปั ตยกรรมของระบบฐำนข้ อมูล กำรออกแบบฐำนข้ อมูล ผังเชื่อมโยงเอ็นทิตี ้ ภำษำยูนิฟำยโมเดลลิ่งและกรณีศึกษำ กำร ประมวลผลข้ อคำถำม กำรจัดกำรรำยกำรเปลี่ยนแปลง ควำมมัน่ คงและควำมบูรณภำพ ของฐำนข้ อมูล กำรบริ หำรฐำนข้ อมูลขันสู ้ ง กำรค้ นคว้ ำวิจยั เกี่ยวกับแบบจำลองข้ อมูล เทคโนโลยีฐำนข้ อมูล Information Modeling, concepts of database systems, database system architecture, database design, entity relationship diagram, unified modeling language and case studies, query processing, transaction management, database integrity and security, advanced data management, research on information modeling, database technology. Study on any state-of-the-art technology in information technology Students should: Understand the main concepts of state-of-the-art technologies Be able to apply the knowledge to effectively solve database or any problems. Be able to carry out independent research in the areas of database systems or any other area. This course is designed to train and test your research skill. Self-study is mainly required. 1 13 Aug 2 20 Aug 3 27 Aug 4 3 Sept 5 10 Sept 6 17 Sept 7 24 Sept 8 1 Oct Lecture 1: Course Introduction - Self-review on database concept - Introduction to MapReduce and ArrayDB Lecture 2: EndNote software and academic writing skill Lecture 3: Journal manuscript writing Independent research presentation Independent research presentation Independent research presentation Independent research presentation Confirming topic for main research report *Lecturer is available for consult during independent research 9 8 Oct 10 15 Oct 11 22 Oct 12 29 Oct 13 5 Nov 14 12 Nov 15 19 Nov 16 26 Nov Independent research Independent research Independent research Independent research Independent research Independent research (Lecturer is not available) Research report submission Final Examination (preferred, but negotiable) *Lecturer is available for consult during independent research except for the marked period. Plagiarism in any assignment In-class Research -100% 20% 4 x 5% Manuscript Review Practice Research Report Content Professional writing References Final Examination 10% 40% 25% 10% 5% 30% One (good) paper per week for 4 weeks A summary of no more than 2 pages is to be submitted each week together with the original paper You may read a paper and write a summary before class Each student is given 5 minutes to present the paper of a normal length Approximately 20 pages (including images and references) Font TH SarabunPSK or Browallia New, size 16 Single-line spacing Or approximately 5,000 words in English (use MS Word count) Professionally written Full paper is to be submitted together with EndNote library file on week 16 At least 20 reliable sources, properly cited and listed at the end of the paper Wikipedia is a good place to start but not a good reference Websites are usually not acceptable references except major or official organization websites Books are secondary reference and usually not good references Any state-of-the-art technology Some keywords NoSQL / NewSQL Spatial database (such as database for GIS) Temporal database Spatiotemporal database MapReduce / Spark Deep Learning Some keywords Blockchain Mobile cloud computing Crowdsourcing Network hypervisor Urgent computing Social network analysis Internet-of-Things User experience Be warned, 100% of total score penalty, immediately resulting in the grade “F” What is plagiarism? copy-paste, even from your friends 4 exact same words without quote and citation paraphrasing without citation Google translate General knowledge does not require citation Having more references cited is not bad If you are not sure, ask the lecturer. Sucha Smanchat, PhD PhD in Information Technology, 2012 Monash University, Australia Master of Science in Information Technology (International Program), 2006 King Mongkut’s University of Technology North Bangkok Master of Information Technology (Minor Thesis), 2005 Monash University, Australia Bachelor of Engineering (Computer Engineering), 2002 King Mongkut’s Institute of Technology Ladkrabang PhD Topic: Scheduling Parameter Sweep Workflow in the Grid Read posters outside my room Cloud computing Cloud workflow Workflow scheduling Data mining-as-a-service MapReduce / Spark Block chain Counseling Hour Sucha: 3A05 (third floor) by appointment Email: [email protected] Up to your research topic Cloud Software Engineering Laboratory (CSEL) Members are those working on researches in the Cloud computing and students under my supervision Current research areas: Grid/Cloud workflow scheduling Video encoding on Cloud Data mining on the Cloud VM allocation policy in private cloud using CloudSim Air Drone programming (collective behavior for AR2) MapReduce “I am still learning”