Galam Seo SELF paper

From Biolecture.org
Revision as of 11:42, 7 December 2018 by imported>SeoGaLam

Self Evaluation on 2018 Genomic Lecture

(Ulsan National Institute of Science and Technology (UNIST

Nuclear Science and Engineering, 20171136 Galam Seo

1. Abstract

 In this paper, I will do SELF, Self-Critical Scientific Evaluation which evaluates myself by using my activities or assignments and studies during the end of 2018 Genomic Lecture. In general, most lectures are doing the one-sided lecture and usually memorizing figures for quiz or exams. But in Genomics lecture, there are no quiz or exams and it aims for 'Self-study', to find the studying style which study genomics until finishing Genomic lecture. Also, SELF is based on the homework and other activities are evidence of evaluating the system.

 Through using this SELF(Self-Critical Scientific Evaluation) method to propose Galam Seo student grading is A-.

 

2. Introduction 

 Genomics lecture is divided into kinds of large topics, 'Genomics', 'sequencing-alignment', 'epigenomics', and 'cancer and aging'. The lecture and other information like watching videos on Youtube or searching in Google, which is explained the methods of self-studying, leads how to learn and studying for those topics. And SELF is based on the homework, writing articles on Biowiki and scientific paper formed essays, researching projects or using Perl to programming for sequencing-alignment. In addition, the attitude and discussions in lecture are also included in SELF.

 From these explanations of Genomics lecture course, self-study part is the most important in lecture than attendance. Also the beginning of the class, lecture leads discussions about special topics or questions, so the discussion part is also important in this Genomics lecture.

 According to these reasons, grading criteria of Genomics lecture: Self-study(60%), Scientific essays(30%), Attendance(10%)

 And Self-study is divided into these categories: Discussion in lecture(20%), Self-studying on Biowiki(25%), Homeworks(15%)

 

3. Results

3.1 Attendance(10%)

 According to 'Genomics course attendance check page', I absent in the course for one time, also I attended in Genome Expo which held in UNIST. And also the course is finished earlier so these are ignored when last 3 weeks of attendance from UNIST mobile attendance application. Therefore, I will get 9/10 credits from attendance. 

 

3.2 Self-Study(60%)

3.2.(a) Self-studying on Biowiki(25%)

 I studied about 'What is Genomics' and other topics which are appeared in Genomics lecture course. But I couldn't and didn't organize what I found from 'Google' and 'Youtube', so it looked like messy studying on Biolecture.org.

3.2.(b) Discussion in lecture(25%)

 Before the lecture beginning, professor and students discuss recent Genomic hot issues or questions. I asked the question about Genomic, and I listened attentively for others discussion. But I didn't passionate participate in the discussion. So I will get 23/25 credit from this section.

 Below questions are talked about in Genomics discussion lecture time.

  • What things are different between science and engineering?
  • Am I have lactose intolerance?
  • Could several genomes be overlapped?
  • Why a lot of people decrease their lactose tolerance when they are aging?
  • Koreans can usually digest more carbohydrates than other countries people
  • Capsaicin
  • How to predict disease and cancer?
  • Why the triple point is important?
  • Would we sometimes break the rules?

3.2.(c) Homeworks(15%)

 During the class for the whole semester, I found the algorithm related to sequencing-alignment, Needleman-Wunsch algorithm. And I studied about what is Perl programs and how to get results on a console, but I couldn't make my own algorithm based on the Needleman-Wunsch algorithm. So I will get 9/15 credits from this section.

3.3 Scientific essays(25%)

 

4. Discussion

5. Reference