• Understanding of the basic principles underlying MEAL
• Learning how to design and implement MEAL strategies, systems, and frameworks.
• Explaining the use of MEAL tools and practices in program development
• Identifying the development of MEAL workpieces such as program baselines, mid-term reviews and end lines
• Understanding of the major tools and best practices involved in MEAL.
• Gaining insights into effective rules of thumb and a framework to approach methodological issues in MEAL.
• Learning how to collect data, ensure data quality management and analyses the data.
• Understanding project reporting by using MEAL

• Executives
• Managers
• Supervisors
• Anyone who is or will be responsible for managing teams or individuals.

Day 1

• Monitoring and Evaluation(M&E) and the project/program cycle
• Importance of M&E
• Purposes and uses of M&E
• Identifying gaps in M&E
• Barriers to effective M&E
• Monitoring, Evaluation, Accountability, and Learning  (MEAL) overview
• MEAL Components
• Purposes and functions of MEAL
• MEAL approach
• How MEAL changes M&E
• Challenges to MEAL

Day 2

• Tools for planned monitoring and evaluation activities
• Project/program goals
• Project/program indicators and targets
• Selecting data collection methods and data sources 
• Data analysis, quality assurance/validation, and management strategy
• Identify strategy for reporting and disseminating data
• Activities based MEAL budgeting
• Components of the budget
• Aspects and Importance of accountability.
• Information sharing and participation.
• Handling Complaints
• Learning and its role 

Day 3

• The purpose and use of baselines and evaluations
• Purpose and use of needs assessments, situation analysis
• Baselines, evaluations and real-time reviews
• Importance of baseline for monitoring and evaluation
• Steps in planning and undertaking baselines and evaluations.
• The survey design and process
• Methods of survey sampling and determining the Sample size
• Data collection techniques and tools
• Designing survey questionnaires
• Pretesting research tools for Validity and Reliability
• Conducting the survey
• What to do after the survey

Day 4

• Introduction to mobile phone data collection
• Advantages and challenges of Mobile Applications
• Open Data Kit (ODK)
• Data Quality Management
• Types of variables
• Entering categorical and continuous data
• Defining and labelling variables
• Validation and Sorting variables
• Transforming, recording, and computing variables
• Tabulation and graphical presentation of data

Day 5

• Descriptive Statistics
• Frequency Tables
• Tables for categorical data
• Graphs and charts
• Data analysis and interpretation and use (SPSS/Stata/R)
• Hypothesis testing
• Comparing Means
• Regression and Correlation analysis
• Interpreting the data
• Use of MEAL data in Reporting
• Communication activities to partners and stakeholders

Rectus attendance certificate will be issued to all attendees completing minimum of 80% of the total course duration.