카테고리 없음
기본 커리큘럼
데이터와 미래
2021. 6. 29. 10:11
| 커리큘럼(Course Syllabus) |
+ 1주차, 2주차는 기본 지식 습득에 가중치를 두고, 연습과 응용을 병행합니다.
+ 3주차, 4주차는 응용에 가중치를 두고, 기본지식을 보충합니다.
+ R에 중점을 두고, SAS가 필요할 경우 보충합니다.
+ 관심 분야에 따라서 해외 논문에 나와있는 코드를 가져와서 커리큘럼을 조정합니다.
| 1주 | ||
| Part 1 | Intro, background knowledge, chitchat. | |
| Part 2-1 | R built in dataset | Skill 1: basic arithmetic |
| Skill 2: basic functions | ||
| Part 2-2 | Plots | Skill 3: basic plots |
| Part 2-3 | For loop | Skill 4: For loop |
| Part 2-4 | Matrix | Skill 5: Creating a matrix |
| Part 2-5 | Class | Skill 6: How to find class of data |
| Part 4 | HW & Next Class | |
| 2주 | ||
| Part 1 | HW. Review of the past class.(ggplot) | |
| Part 2-1 | What is c() in R? | Skill 1: creating a vector |
| Part 2-2 | Select data | Skill 2: Select row, column |
| Skill 3: Adding a column | ||
| Part 2-3 | How to install package and library? | |
| Part 2-4 | Drawing Plots | Skill 4: Basic plot with title |
| Skill 5: ggplot | ||
| Part 2-5 | What is :: ? | Why use :: ? |
| Part 4 | HW & Next Class | |
| 3주 | ||
| Part 1 | HW. Review of the past class.(Drawing plots) | |
| Part 2-1 | how to memorize and utilize ggplot | |
| Part 2-2 | Scatter Plot and adding a layer. | Skill 1: drawing scatter plots. |
| Part 2-3 | Bar Chart | Skill 2: drawing bar charts |
| Skill 3: setting with of bars, and angles of x-axis title. | ||
| Part 2-4 | Importing data example | |
| Counts Plot | Skill 4: Counts Plot | |
| Part 2-5 | Seasonal Plot | |
| Part 4 | HW & Next Class | |
| 4주 | ||
| Part 1 | HW. Review of the past class.(ggplot) | |
| Part 2-1 | Change plot with the same data | Skill 1: Change plot with the same data |
| Part 2-2 | Plot Margin | Skill 2: Setting plot margin |
| Part 2-3 | Data in GGplot must be Dataframe | Common errors by ggplot |
| Part 2-4 | Pie Chart | Skill 3: Pie chart |
| Part 2-5 | Clustering | |
| Part 4 | HW & Next Class | |
| 5주 | ||
| Part 1 | HW. Review of the past class.(ggplot) | |
| Part 2-1 | R Markdown | Skill 1: Create document with R Markdown |
| Part 2-2 | Modifying data | Skill 2: Annotate column names: colnames(x) |
| Skill 3: Name Cut | ||
| Skill 4: Cbind, Rbind(When New data added.) | ||
| Skill 5: %>% | ||
| Skill 6: Select | ||
| Part 2-3 | Survival Analysis theory | ggsurvplot |
| Fit a Cox model | ||
| Part 4 | HW & Next Class | |
| 6주 | ||
| Part 1 | HW. Review of the past class.(Data filtering.) | |
| Part 2-1 | CPM | Skill 1: Calculate cpm |
| Part 2-2 | View summary of data | Skill 2: Table |
| Part 2-3 | How to calculate sum of the row | Skill 3: rowSums |
| Part 2-4 | Plot | Skill 4: abline on a plot |
| Skill 5: Visualize distribution of gene expression levels | ||
| Part 2-5 | Data filtering | Skill 6: Filtering value |
| Part 4 | HW & Next Class | |
| 7주 | ||
| Part 1 | HW. Review of the past class. | |
| Part 2-1 | Coloring or RColorBrewer | Skill 1: Color by group |
| Part 2-2 | Finding number of types | Skill 2: nlevels |
| Part 2-3 | Numbering | Skill 3: paste |
| Part 2-4 | Summary | Skill 4: summary, hist, quantile |
| Part 2-5 | Application of theory | Skill 5: Chi-Square Distribution in R |
| Skill 6: PlotMDS | ||
| Part 4 | HW & Next Class | |
| 8주 | ||
| Part 1 | HW. Review of the past class. | Skill 1: Remove space in data names(paste) |
| Part 2-1 | Coloring or RColorBrewer | Skill 2: Coloring by rep(rep) |
| Part 2-1-2 | Rep | |
| Part 2-3 | Same opreation to all data | Skill 3: Doing same calculation to all data |
| Part 2-4 | Linear Model | Skill 4: Contrast matrix |
| Skill 5: Multi-Select Column(row) | ||
| Part 4 | HW & Next Class | |
9주~13주: 수강하시는 분의 진행상황에 따라서 일부 변동됩니다.
수강 중에 간단한 시험 및 Quiz가 있습니다. 자주 헷갈려하시는 부분에 따라서 수업내용 조정이 있을 수 있습니다.