Syllabus
|
Course Code: ST-204 Course Name: Programming with C and R |
||
| MODULE NO / UNIT | COURSE SYLLABUS CONTENTS OF MODULE | NOTES |
|---|---|---|
| 1 | Overview of C: History of C, Importance of C, Structure of a C Program. Elements of C: Character set, identifiers and keywords, Data types, Constants and Variables. Operators and their hierarchy & associativity. Input/output in C. Control statements: Sequencing, Selection: if and switch statement; alternation, Repetition: for, while, and do-while loop; break, continue, go to statement. Functions: Definition, prototype, passing parameters, recursion. |
|
| 2 | Storage classes in C: auto, extern, register and static storage class, their scope, storage and lifetime. Arrays: Definition, types, initialization, processing an array, passing arrays to functions. Pointers: Declaration, operations on pointers, use of pointers. String handling functions Structure & Union: Definition, processing, Structure and pointers, passing structures to functions. Data files: Opening and closing a file, I/O operations on files. |
|
| 3 | Introduction to R: Overview of R programming, Evolution of R, Applications of R programming, Basic syntax; Basic Concepts of R: Reserved Words, Variables & Constants, Operators, Operator Precedence, Data Types, Input and Output; Data structures in R: Vectors, Matrix, List in R programming, Data Frame, Factor. Control flow: If...else, If else() Function, For loop, While Loop, Break & next, Repeat Loop; Functions: R Functions, Function Return Value, Environment & Scope, R Recursive Function, R Infix Operator, R Switch function; Strings: String construction rules, String Manipulation functions |
|
| 4 | R packages: Study of different packages in R; R Data Reshaping: Joining Columns and Rows in a Data Frame, Merging Data Frames, Melting and Casting; Working with files: Read and writing into different types of files. R object and Class Object and Class: R S3 Class, R S4 Class, R Reference Class, R Inheritance; Data visualization in R and Data Management: Bar Chart, Dot Plot, Scatter Plot (3D), Spinning Scatter Plots, Pie Chart, Histogram, Box plot, Plotting with Base and Lattice Graphics, Sorting Datasets, Merging Datasets; Statistical modelling and Databases in R: Mean, mode, median, Linear regression, Decision tree, K-means Clustering |
|
