Welcome to RACORT, an online research and training program. Our module is built to equip individuals in cutting edge research. The online research and training starts from foundation level to the most advanced methods of research and technology. This is to enhance your skills to undertake ground breaking research in your country.
The course has three stages; Foundation, Continuous and Advanced stages which is sub-divided into six thematic areas.
The foundation module is for beginners or starters such as Senior High School (SHS) and diploma graduates and all those who wish to build careers in research but do not have any practical knowledge. There are vacation classes for students and graduates both at the SHS and tertiary level. Upon completion of the foundation level, you can advance to the continuous and advanced stages of the course module.
Continuous and Advanced stage
The continuous and advanced modules are for corporate workers and those who wish to build careers and broaden their knowledge in research, GIS and remote sensing such as managers, entrepreneurs, business men and women, public and private workers.
Applicants who have Bachelors and Masters Degree with similar training and experience in research will be given some exemptions.
The program is meant to equip individuals to build a profession or an occupation in Research, GIS, and or Remote Sensing, and form a major work force at their work places.
Six Thematic Areas:
Foundation in Research Methods and Data Analysis.
Introduction to Research Methods and Applied Data Analysis.
Advanced Data Analysis.
Introduction to Geographic Information Systems.
Introduction to Remote Sensing.
Application of Research, Geographic Information Systems and Remote Sensing.
1. Foundations in Research Methods and Data Analysis
The aim of this module is to provide you with basic research skills to enable you to access the evidence base and perform entry-level statistics.
It will allow you to learn about different research methodologies and be able to critique the literature. You will also gain working knowledge of the principles underlying statistics and have an introductory knowledge of a specialist statistical software package (SPSS) and learn about qualitative methodology, analysis and be able to recognize techniques used in this type of research.
2. Introduction to Research Methods and Applied Data Analysis
The aim of this module is to enable you to develop your theoretical, methodological and research skills to enhance your ability to conduct rigorous research and reach to sound analytical conclusions, which can form the basis for the development of effective service delivery in both public and private sector.
You will develop a thorough understanding of the principles, theory and epistemology of research and data analysis methods. Equal emphasis is given to the teaching of qualitative and quantitative research methods and study designs.
More importantly, you will be guided and supported to conduct research in practice by developing a pragmatic research proposal for an applied research project.
Understand research terminology
Be aware of the ethical principles of research, ethical challenges and approval processes
Describe quantitative, qualitative and mixed methods approaches to research
Identify the components of a literature review process
Critically analyze published research
Module 1: Foundations
Lesson 1: Introduction to Research and the Research Process
Lesson 2: Research Ethics and Integrity
Lesson 3: Critical appraisal
Module 2: Quantitative Research
Lesson 4: Introduction to Quantitative Research, Study Designs and Methods
Lesson 5: Analysis and Interpretation of Quantitative Data
Lesson 6: Critical Appraisal of Quantitative Research
Module 3: Qualitative Research
Lesson 7: Introduction to Qualitative Research, Study Designs and Methods
Lesson 8: Analysis and Interpretation of Qualitative Data
Lesson 9: Critical Appraisal of Qualitative Research
Module 4: Mixed Methods Research
Lesson 10: Introduction to Mixed Methods Research, Study Designs and Methods
Lesson 11: Analysis and Interpretation of Mixed Methods Data
Lesson 12: Critical Appraisal of Mixed Methods Research
3. Advanced Data Analysis
In this module we will introduce a number of advanced and multivariate data analysis methods and lead you through their background, rationale, practicalapplication and interpretation, using step by step explanations. Knowledge of these will help you understand, evaluate and draw informed conclusions from the complex analyses of other researchers, address how you will utilize the data in projects you design and to encourage you to analyze existing datasets in alternative ways.
Upon successful completion of the module, you should be able to use a suite of methods, as well as specialized software for analysis of common multivariate data scenarios.
4. Introduction to Geographic Information Systems
The main objectives of this course are:
l to provide the students with fundamental concepts of Geographic Information Systems (GIS)
l to familiarize the students with a GIS software by hands-on experiences.
Introduction to GIS
Data Input into GIS
Spatial data models and operations
What is GIS used for?
l Municipal Spatial Data
l Basemaps / topographic maps
l Cadastral maps (lot boundaries, parcel boundaries, easement and right-of-way)
l Urban planning maps
l AM/FM Data (sewer system, water system, electricity, communication)
l Street network Data (road centerlines, intersections, lights, trees,…)
l Area Data (demographic, tax rate, school district, emergency response,…)
l Environmental Data (soil map, flood plain maps, noise level map, streams, water bodies, parks,…)
Current GIS applications
l Census, elections
l Surveying and mapping
l Map and database publishing
l Public health and safety (hospital, police, fire…)
l Real estate information management
l Municipal Applications (infrastructure,...)
l Engineering Applications
l Forest Development and Management/Erosion and deforestation
l Agriculture and land use, harvest prognoses
l Environmental applications (vegetation, pollution, ...)
l Hydrology, water pollution (drainage patterns, water catchment, …)
l Geology (DTM, fault-line detection, mineral detection)
l Transportation, vehicle tracking, navigation systems, ...
5. Introduction to Remote Sensing
This course introduces students to the basics of remote sensing, characteristics of remote sensors, and remote sensing applications in academic disciplines and professional industries. Emphasis is placed on image acquisition and data collection in the electromagnetic spectrum and data set manipulations. This course is designed for geographic information systems (GIS) students interested in imagery analysis.
This is an introductory course with no pre-requisites and is designed for GIS professionals enrolled in the GIS Certificate or our foundation and continuous Programs. These courses are designed for working professionals and students and are taught in both an online format and a face-to-face environment.
Course Outline - Remote Sensing and GIS
A. Remote Sensing Defined B. Applications of Remote Sensing C. Basic Processes
I. A brief history of remote sensing for earth observation
A. History of photography B. Digital images C. Evolution of platforms D. Sensor Characteristics
II. Remote Sensing Basics
A. Remote Sensing Data Collection B. Remote Sensing Process C. Earth Observations D. Electromagnetic Radiation E. Atmospheric Energy-Matter Interactions