COURSE OVERVIEW

The course helps participants on how to manage and account for payables and receivables in a professional and efficient manner.

Accounts Payable and Receivable is a professional development program that will provide you with the skills and knowledge required to maintain accounts payable and accounts receivable records, including processing payments to creditors and handling overdue accounts receivable.

On completion of this  accounts payable course, you will be able to maintain financial journal systems, prepare bank reconciliations and statements for accounts receivable. You will also feel confident to conduct age-analysis of accounts receivable and manage the entire accounts payable and receivable process to meet legislative and organisational requirements.

FOR MORE DETAILS AND COURSE OUTLINE PLEASE CONTACT:

PIERRE DUPLIS BRENNER

The Admission Director

AFRICA INSTITUTE FOR CAPACITY DEVELOPMENT (AICD)

HEAD OFFICE:<

21 Detroit Plaza |Pretoria Road|Kempton Park|

Gauteng. SOUTH AFRICA

Telephone : +27 733797377

Whatsapp Number : +27733797377

Home

OUR SERVICES:

TRAINING| SHORT COURSES| CONSULTANCY| RESEARCH| RECRUITMENT| MANAGEMENT CONSULTING

Online Information Request Form

1. ABOUT THIS COURSE

 In the past, data collection was performed using paper and pen, which made it prone to error, difficult to conduct on a large scale, and high in transaction costs. ICT tools such as mobile devices and software that allow users to create surveys, collect, manage and upload data to storage facilities in real-time have reduced the conventional challenges associated with remote data collection. One of the commonly used tools is KoBoToolbox.

KoBoToolbox has been used to observe elections, monitor rainforests, track outbreaks, conduct one-off surveys,rapid assessments, baseline studies, project mid-term evaluation, project end-term evaluation, market research,during and directly following disasters and in many other cases.

This course is a hands-on, step by step guide that will teach learners how to setup, administer and manage a mobile based data collection platform using KoBoToolbox.

2.     WHO SHOULD TAKE THIS COURSE

This is a hands-on course for anyone who wishes to learn how to set up a mobile-based system to collect,manage, analyze and map data.

3.     ABOUT THE INSTRUCTOR

The instructor is a seasoned implementer of mobile-based data collection systems in custom android apps, ODK,KoBoToolbox, CSEntry, ona.io, Survey CTO, Magpi, Mobenzi among others.

4.     WHAT IS KOBOTOOLBOX

KoBoToolbox is a suite of free and open-source tools for field data collection using mobile devices for use inchallenging environments. Most of KoBoToolbox users are people working in humanitarian crises, as well as aidprofessionals and researchers working in developing countries. What can you do with KoBoToolbox

1. Build complex forms with skip logic and validation using KoBoToolbox Form Builder or XLSForm (XLSForm is recommended for larger forms)
2. Collect data offline on a mobile device and send it to a cloud
3. Map data
4. Visualize, manage and analyze data
5. Store collected data on a server and extract it in useful formats for analysis

5. COURSE OBJECTIVES

This training course in Mobile Data Collection using KoBoToolbox will teach learners to:

1. Build/design complex forms with skip logic and validation in KoBoToolbox Form Builder and inMicrosoft Excel (XLSForms syntax)
2. Easily share projects with colleagues
3. Design, Import and export XLSForms
4. Collect data online/offline on mobile devices or on any browser
5. Create summary reports with graphs and tables
6. Visualize collected data on a map
7. Disaggregate data in reports and maps
8. Export data
9. Access collected data through an API

6.     LEARNING OUTCOMES

At the end of the course, learners will be able to:

1. Setup an account in KoBoToolbox
2. Digitize any complex questionnaire to a digital form that can be used for data collection on mobiledevices and on
3. Visualize, manage and analyze data in
4. Map data in
5. Collect data on mobile devices and browsers
6. Extract data from KoBoToolbox for

7.     COURSE REQUIREMENTS

1. Basic computing skills

2. A mobile device running Android OS
3. Knowledge in Microsoft Excel
4. Access to the internet
5. Proficiency in English

8. COURSE OUTLINE

The following modules will be covered in the course:

Module 1 Introduction to mobile data collection

1. What is data collection?
2. What is mobile data collection?
3. Benefits of mobile data collection
4. What is KoBoToolbox?
5. Setting up an account in KoBoToolbox

Module 2 Introduction to survey authoring in KoBoToolbox

1. Introduction to data types
2. Introduction to the KoBoToolbox Survey Form Builder
3. Basic survey authoring (text, number, select one, select many, decimal, date, date/time, note, photo,audio, video, acknowledge, required, hints, Geo data (point, appearance, line, area) )

Module 3 Advanced survey authoring

1. Grouping questions
2. Skip logic
3. Calculations
4. Constraints
5. Specify others
6. Other data types (Rating, question matrix, ranking, range, file)
7. Cascading select
8. Testing the form logic
9. Deploying forms for data collection

Module 4 Data Collection, management, analysis and mapping

1. Setting up a mobile device (Downloading KoBo Collect and device calibration)
2. Working with the data collection app
3. Uploading data to the server
4. Data management
5. Data analysis
6. Mapping
7. Extracting data in different formats

Module 5 Summary Additional course information

Module 6 (Optional) XLSForms syntax

FOR MORE DETAILS AND COURSE OUTLINE PLEASE CONTACT:

PIERRE DUPLIS BRENNER

The Admission Director

AFRICA INSTITUTE FOR CAPACITY DEVELOPMENT (AICD)

HEAD OFFICE:<

21 Detroit Plaza |Pretoria Road|Kempton Park|

Gauteng. SOUTH AFRICA

Telephone : +27 733797377

Whatsapp Number : +27733797377

Home

OUR SERVICES:

TRAINING| SHORT COURSES| CONSULTANCY| RESEARCH| RECRUITMENT| MANAGEMENT CONSULTING

Online Information Request Form

COURSE OVERVIEW

This course is designed to enable the participants become experts in monitoring and evaluating their development projects. The course covers all the key elements of a robust M&E system coupled with a practical project to illustrate the M&E concepts.

This is a comprehensive M&E course that covers the principles and practices for results based monitoring and evaluation for the entire project life cycle. This course equips participants with skills in setting up and implementing results based monitoring and evaluation systems including M&E data management, analysis and reporting. The participants will benefit from the latest M&E thinking and practices including the results and participatory approaches.

TARGETED AUDIENCE

This course is designed for researchers, project staff, development practitioners, managers and decision makers who are responsible for project, program or organization-level M&E. The course aims to enhance the skills of professionals who need to research, supervise, manage, plan, implement, monitor and evaluate development projects.

TRAINING OBJECTIVES

By the end of this course the participants will be able to:

• Develop project results levels
• Design a project using logical framework
• Develop indicators and targets for each result level
• Track performance indicators over the life of the project
• Evaluation a project against the set results
• Develop and implement M&E systems
• Develop a comprehensive monitoring and evaluation plan
• Use data analysis software (Stata/SPSS/R)
• Collect data using mobile data collection tools
• Carryout impact evaluation
• Use GIS to analyze and share project data

TRAINING OUTLINE

Introduction to Results Based Project Management

• Fundamentals of Results Based Management
• Why is RBM important?
• Results based management vs traditional projects management
• RBM Lifecycle (seven phases)
• Areas of focus of RBM

Fundamentals of Monitoring and Evaluation

• Definition of Monitoring and Evaluation
• Why Monitoring and Evaluation is important
• Key principles and concepts in M&E
• M&E in project lifecycle
• Participatory M&E

Project Analysis

• Situation Analysis
• Needs Assessment
• Strategy Analysis

Design of Results in Monitoring and Evaluation

• Results chain approaches: Impact, outcomes, outputs and activities
• Results framework
• M&E causal pathway
• Principles of planning, monitoring and evaluating for results

M&E Indicators

• Indicators definition
• Indicator metrics
• Linking indicators to results
• Indicator matrix
• Tracking of indicators

Logical Framework Approach

• LFA – Analysis and Planning phase
• Design of logframe
• Risk rating in logframe
• Horizontal and vertical logic in logframe
• Using logframe to create schedules: Activity and Budget schedules
• Using logframe as a project management tool

Theory of Change

• Overview of theory of change
• Developing theory of change
• Theory of Change vs Log Frame
• Case study: Theory of change

M&E Systems

• What is an M&E System?
• Elements of M&E System
• Steps for developing Results based M&E System

M&E Planning

• Importance of an M&E Plan
• Documenting M&E System in the M&E Plan
• Components of an M&E Plan-Monitoring, Evaluation, Data management, Reporting
• Using M&E Plan to implement M&E in a Project
• M&E plan vs Performance Management Plan (PMP)

Base Survey in Results based M&E

• Importance of baseline studies
• Process of conducting baseline studies
• Baseline study vs evaluation

Project Performance Evaluation

• Process and progress evaluations
• Evaluation research design
• Evaluation questions
• Evaluation report Dissemination

M&E Data Management

• Different sources of M&E data
• Qualitative data collection methods
• Quantitative data collection methods
• Participatory methods of data collection
• Data Quality Assessment

M&E Results Use and Dissemination

• Stakeholder’s information needs
• Use of M&E results to improve and strengthen projects
• Use of M&E Lessons learnt and Best Practices
• Organization knowledge champions
• M&E reporting format
• M&E results communication strategies

Gender Perspective in M&E

• Importance of gender in M&E
• Integrating gender into program logic
• Setting gender sensitive indicators
• Collecting gender disaggregated data
• Analyzing M&E data from a gender perspective
• Appraisal of projects from a gender perspective

Data Collection Tools and Techniques

• Sources of M&E data –primary and secondary
• Sampling during data collection
• Qualitative data collection methods
• Quantitative data collection methods
• Participatory data collection methods
• Introduction to data triangulation

Data Quality

• What is data quality?
• Why data quality?
• Data quality standards
• Data flow and data quality
• Data Quality Assessments
• M&E system design for data quality

ICT in Monitoring and Evaluation

• Mobile based data collection using ODK
• Data visualization – info graphics and dashboards
• Use of ICT tools for Real-time monitoring and evaluation

Qualitative Data Analysis

• Principles of qualitative data analysis
• Data preparation for qualitative analysis
• Linking and integrating multiple data sets in different forms
• Thematic analysis for qualitative data
• Content analysis for qualitative data
• Manipulation and analysis of data using NVivo

Quantitative Data Analysis – (Using SPSS/Stata)

• Introduction to statistical concepts
• Creating variables and data entry
• Data reconstruction
• Variables manipulation
• Descriptive statistics
• Understanding data weighting
• Inferential statistics: hypothesis testing, T-test, ANOVA, regression analysis

Impact Assessment

• Introduction to impact evaluation
• Attribution in impact evaluation
• Estimation of counterfactual
• Impact evaluation methods: Double difference, Propensity score matching

GIS in M&E

• Introduction to GIS in M&E
• GIS analysis and mapping techniques
• Data preparation for geospatial analysis
• Geospatial analysis using GIS software (QGIS)

FOR MORE DETAILS AND COURSE OUTLINE PLEASE CONTACT:

PIERRE DUPLIS BRENNER

The Admission Director

AFRICA INSTITUTE FOR CAPACITY DEVELOPMENT (AICD)

HEAD OFFICE:

21 Detroit Plaza |Pretoria Road|Kempton Park|

Gauteng. SOUTH AFRICA

Telephone : +27 733797377

Whatsapp Number : +27733797377

https://aicdtraining.com/

OUR SERVICES:

TRAINING| SHORT COURSES| CONSULTANCY| RESEARCH| RECRUITMENT| MANAGEMENT CONSULTING

For more information https://aicdtraining.com/online-information-request-form/

1.0 COURSE OVERVIEW

When an investor is faced with a portfolio choice problem, the number of possible assets and the various combinations and proportions in which each can be held can seem overwhelming. In this course, you’ll learn the basic principles underlying optimal portfolio construction, diversification, and risk management.

You’ll start by acquiring the tools to characterize an investor’s risk and return trade-off.

You will next analyze how a portfolio choice problem can be structured and learn how to solve for and implement the optimal portfolio solution.

Finally, you will learn about the main pricing models for equilibrium asset prices.

2.0 COURSE OBJECTIVES

Learners will:

• Develop risk and return measures for portfolio of assets
• Understand the main insights from modern portfolio theory based on diversification
• Describe and identify efficient portfolios that manage risk effectively
• Solve for portfolio with the best risk-return trade-offs
• Understand how risk preference drive optimal asset allocation decisions
• Describe and use equilibrium asset pricing models.

3.0 COURSE OUTLINE

General Introduction and Key Concepts

In this course you will first be presented with a few mistakes you will no longer make after following this course. In order to avoid making these mistakes, you will start by gaining a foundation and understanding of the three main types of information we need in order to build optimal portfolios: expected returns, risk and dependence.

Modern Portfolio Theory and Beyond

The focus is on Modern Portfolio Theory. By understanding how imperfect correlations between asset returns can lead to superior risk-adjusted portfolio returns, we will soon be looking for ways to maximize the effect of diversification, which is at the heart of Modern Portfolio Theory. But we won’t stop there: we will also explore the implications of Modern Portfolio Theory on real-world investment decisions and whether or not these implications are followed by investors. Finally, we will see how Modern Portfolio Theory can be built upon to derive the most popular asset pricing model: the Capital Asset Pricing Model.

Asset Allocation

This   is dedicated to asset allocation. After a short introduction to investor profiling, we will delve into Strategic Asset Allocation (SAA). You will see how it relates to Modern Portfolio Theory and how it differs from Tactical Asset Allocation (TAA). We will look at how both asset allocations can be implemented separately but also in conjunction in order to build portfolios that fulfill investors’ needs and constraints while taking advantage of market opportunities.

Risk Management

This is dedicated to risk. We will start by looking in more depth at different sources of risk such as illiquidity and currency risk but also at the different tools available to investors to perform risk management. But how should we measure risk? We will see that it may be valuable to go a step beyond standard deviation, the risk measure we used so far, and look at the Value-at-Risk and Expected Shortfall which focus on potential large losses. Finally, we will use the financial instruments at our disposal to hedge market and currency risk.

FOR MORE DETAILS AND COURSE OUTLINE PLEASE CONTACT:

PIERRE DUPLIS BRENNER

The Admission Director

AFRICA INSTITUTE FOR CAPACITY DEVELOPMENT (AICD)

HEAD OFFICE:

21 Detroit Plaza |Pretoria Road|Kempton Park|

Gauteng. SOUTH AFRICA

Telephone : +27 733797377

Whatsapp Number : +27733797377

https://aicdtraining.com/

OUR SERVICES:

TRAINING| SHORT COURSES| CONSULTANCY| RESEARCH| RECRUITMENT| MANAGEMENT CONSULTING

For more information https://aicdtraining.com/apply-online/