Introduction to programming (C/C++)

• An overview of programming
• Program and Base Data Type
• Programming with control structures
• Functions and techniques for program organization
• Pointer and Dynamic memory allocation
• Use structured data and arrays
• Programming with files

Object-oriented programming

• Features of the C++ language
• Overview of object-oriented programming
• Classes and objects
• Object, friend function and friend class initialization
• Operator and function overloadding
• Inheritance and polymorphism

Data structures and algorithms

• Algorithm and analysis of algorithm complexity
• Sorting and searching algorithms
• Linked lists
• Stack and queue
• Hash table
• Binary Search Tree and B-Tree
• Data encoding algorithm

Database Analysis and Design

• ER and Relational data model
• Relational algebra
• Structure Query Language (SQL)
• Integrity constraint
• Functional dependencies and Normalization
• Conceptual Design
• Logical design
• Physical design

Analysis and design of information systems

• Information system overview
• Survey and analyze requirements
• Data components analysis and design
• Processing component analysis and design
• Interface component design
• Develop and implement information system projects

Database management system (DBMS)

• DBMS overview
• Stored procedure, Trigger, Cursor
• Transactions and transaction schedules
• Concurrent access control
• Data safety and security
• Query optimization
• Data orgranizing

Distributed Database

• Distributed Database Overview
• Distributed Database Management System Architecture
• Distributed Database System Designing
• Transparency in Distributed System
• Query Optimization in Distributed Systems
• Concurrency Control in Distributed Transactions

Data analysis and visualization

• Concepts and data analysis processes, data analysis support tools
• Data preparing and organizing
• Exploratory data analysis
• Data analysis models development and assesment
• Data visualization with Matplotlib

Web application development

Data Mining and Applications

• Data prerpocessing
• Association Rules and popular set
• Frequent episode
• Rough Set
• Data classification and clustering

Big Data Technology

• Big data: Overview about Concept, Characteristic features, Source of formation and Challenge
• Hadoop platform (GFS, HDFS, MapReduce)
• Spark Platform (RDDs object, PySpark)
• Machine learning library with Spark (MLlib)

Introduction to Business Intelligence System

• BI systems overview
• Data warehouse platform
• ETL processing (SSIS - SSAS - SSRS)
• OLAP online processing operations
• Reporting function of BI (SSRS)
• BI data visualization functionality
• BI data mining function

Geographic Information Systems

• GIS Overview
• Spatial-Based Feature for Locating Objects
• Spatial data model
• Spatial data structure
• Spatial Data Analysis and Querying in GIS