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  +
= Introduction to Career Development =
= Autonomous Mobile Robots =
 
* '''Course name''': Autonomous Mobile Robots
+
* '''Course name''': Introduction to Career Development
* '''Code discipline''':
+
* '''Code discipline''': R-01
* '''Subject area''': Robotics
+
* '''Subject area''': Humanities
   
 
== Short Description ==
 
== Short Description ==
  +
The course provides students with an opportunity to learn and develop the necessary skills to engage in career planning and choice.
Autonomous mobile robots (AMRs) are rapidly evolving from workhorses to increasingly complex machines capable of performing challenging tasks such as industrial navigation. The course objective is to provide a few basic concepts of autonomous mobile robots. The main emphasis is on mobile robot kinematics and controls, different classes of robot localization techniques, various state estimation methods, and robot perception based on camera and lidar. The exercises of this course are based on ROS2 with a few types of wheeled robots.
 
  +
During the course students will learn how to write selling CVs and Cover letters, how successfully pass job interviewы, how to sell themselves and how to negotiate for salary. On top of that we will cover personal brand development and career planning. We will go through the Labor Law so that they can stand up for their rights.
By the end of this course, you will be able to understand the basic building blockers of autonomous navigation. To succeed in this course, you should have programming experience in Python 3. x, ROS, and familiarity with basic concepts of Linear Algebra and Calculus.
 
  +
We will also cover microeconomics and then dive deeper on to micro level and, particularly, how students as engineers can contribute to the business. We will cover corporate culture, manipulation and boundaries violations, so that students could assert their boundaries to others at workplace.
  +
By the end of the course, students will have a clear answer to a question what value they can bring to the company, how they differentiate themselves, how they stand out from the crowd.
  +
The key concepts are sales, negotiation, personal brand, value proposition, competitive advantage, corporate culture, motivation.
  +
We will practice a lot by running mock interviews and salary negotiations.
  +
By the end of the course, students will have a written CV, a Cover letter, a personal brand statement, and a profile on hh.ru or Linkedin.
   
 
== Prerequisites ==
 
== Prerequisites ==
   
 
=== Prerequisite subjects ===
 
=== Prerequisite subjects ===
* CSE101
+
* n/a
* CSE102
 
* CSE104 or CSE117
 
* CSE202 and CSE204
 
   
 
=== Prerequisite topics ===
 
=== Prerequisite topics ===
  +
* n/a
* Programming experience in Python 3. x
 
* ROS (Robot Operating System)
 
* Familiarity with basic concepts of Linear Algebra and Calculus
 
   
 
== Course Topics ==
 
== Course Topics ==
Line 28: Line 28:
 
! Section !! Topics within the section
 
! Section !! Topics within the section
 
|-
 
|-
| 1.0 Introduction & Motion ||
+
| Soft skills and Personal Brand ||
  +
# Soft skills and Networking
# What are autonomous mobile robots (AMRs)?
 
  +
# Self-confidence and Body language
# Why do we need autonomous mobile robots (AMRs)?
 
  +
# Personal Brand
# How do AMRs work?
 
  +
# Leadership skills
# Kinematic Configuration
 
# Probabilistic kinematics
 
# Velocity motion model
 
# DiffDrive
 
# Bicycle drive
 
# Tricycle drive
 
# Car (Ackerman Drive)
 
 
|-
 
|-
  +
| How to write CV/Resume/Cover letter and pass job interviews ||
| 2.0 Estimation ||
 
  +
# CV
# Basic of Probability
 
  +
# Cover letter
# Probabilistic Generative Laws
 
  +
# Types of Job interviews, types of questions in an interview
# Estimation from Measurements
 
  +
# What business needs, and how engineers can contribute to business
# Estimation from Measurements and Controls
 
  +
# Sales and Negotiation
# Gaussian Distribution
 
  +
# Negotiation for salary and pay rise
# One Dimensional Kalman Filter
 
# Multivariate Density Function
 
# Marginal Density Function
 
# Multivariate Normal Function
 
# Two Dimensional Gaussian
 
# Multiple Random Variable
 
# Multidimensional Kalman Filter
 
# Sensor Fusion
 
# Linearization, Taylor Series Expansion, Linear Systems
 
# Extended Kalman Filter (EKF)
 
# Comparison between KF and EK
 
# A Taxonomy of Particle Filter
 
# Bayesian Filter
 
# Monte Carlo Integration (MCI)
 
# Particle Filter
 
# Importance Sampling
 
# Particle Filter Algorithm
 
 
|-
 
|-
| 3.0 Perception ||
+
| Work environment ||
  +
# Corporate culture
# Monocular Vision
 
  +
# Manipulation and boundaries violation
# Pinhole Camera Model
 
  +
# Labor law
# Image Plane, Camera Plane, Projection Matrix
 
  +
|-
# Projective transformation
 
  +
| Career development paths ||
# Finding Projection Matrix using Direct Linear Transform (DLT)
 
  +
# What is capitalization and monetization
# Camera Calibration
 
  +
# Career choice. Career paths
# Stereo Vision
 
  +
# How to transform career
# Simple Stereo, General Stereo
 
  +
# Slash careers
# Some homogeneous properties
 
# Epipolar Geometry
 
# Essential matrix, Fundamental matrix
 
# Depth Estimation
 
 
|}
 
|}
 
== Intended Learning Outcomes (ILOs) ==
 
== Intended Learning Outcomes (ILOs) ==
   
 
=== What is the main purpose of this course? ===
 
=== What is the main purpose of this course? ===
What is the main goal of this course formulated in one sentence?
+
What is the main goal of this course formulated in one sentence?
  +
The main goal of this course is to help students gain skills to sell themselves during job and negotiate for salary, and have mindset that they need to drive their career
The main purpose of this course is to answer the following three questions
 
What are autonomous mobile robots (AMRs)?
 
Why do we need autonomous mobile robots (AMRs)?
 
How do AMRs work?
 
   
 
=== ILOs defined at three levels ===
 
=== ILOs defined at three levels ===
Line 91: Line 63:
 
==== Level 1: What concepts should a student know/remember/explain? ====
 
==== Level 1: What concepts should a student know/remember/explain? ====
 
By the end of the course, the students should be able to ...
 
By the end of the course, the students should be able to ...
  +
* Understand macroeconomics and economy of organizations on high level and what the main goal of organizations is
* Different types of motion models for AMRs
 
  +
* Understand concepts of manipulation and boundaries violation
* Types of robot localization techniques for linear and nonlinear systems
 
  +
* Know the Labor Law of Russia
* To understand the environment by interpreting the sensor reading
 
  +
* Differentiate between sales and negotiation
* Several ways to estimate a robot’s system state vector for linear, nonlinear, and linearized systems
 
  +
* Understand how hiring process in organisations
  +
* Explain what personal brand is and how to build it
  +
* Elaborate on soft skills and why they are important
   
 
==== Level 2: What basic practical skills should a student be able to perform? ====
 
==== Level 2: What basic practical skills should a student be able to perform? ====
 
By the end of the course, the students should be able to ...
 
By the end of the course, the students should be able to ...
  +
* Focus on soft skills and personal development
* Understand the vehicle motion model for the provided vehicle schema type
 
  +
* Define the structure of CVs and Cover letters or Motivation letters
* Design linear or nonlinear controller for manueveing the robot appropriately
 
  +
* Define the structure of hiring process and job interviews
* Design sensor configuration and which sensors are more suitable for the given task
 
  +
* Develop personal brand
* Different ways to estimate system state vector for both linear and nonlinear systems
 
  +
* Increase their contribution to business
* Understand how to localize robots in GPS-denied environments
 
   
 
==== Level 3: What complex comprehensive skills should a student be able to apply in real-life scenarios? ====
 
==== Level 3: What complex comprehensive skills should a student be able to apply in real-life scenarios? ====
 
By the end of the course, the students should be able to ...
 
By the end of the course, the students should be able to ...
  +
* Write CVs and Cover letters or Motivation letters
* Design a robot motion model for the provided robot
 
  +
* Go through job interview, sell themselves and negotiate for salary and land a job
* Improve the robot state estimation accuracy
 
  +
* Clearly answer questions by telling the story: Tell me about yourself
* Fuse several types of sensors and improve measurement accuracy
 
  +
* Explicitly answer the questions: Why should we hire you? What value can you bring to business?
* Estimate depth using a stereo camera, and lidar
 
  +
* Plan their careers
* Localize the robot in a GPS-denied environment
 
  +
* Reinforce their personal brand
 
== Grading ==
 
== Grading ==
   
Line 119: Line 95:
 
! Grade !! Range !! Description of performance
 
! Grade !! Range !! Description of performance
 
|-
 
|-
| A. Excellent || 90-100 || -
+
| A. Excellent || 85-100 || -
 
|-
 
|-
| B. Good || 75-89 || -
+
| B. Good || 70-84 || -
 
|-
 
|-
| C. Satisfactory || 50-74 || -
+
| C. Satisfactory || 50-69 || -
 
|-
 
|-
| D. Fail || 0-50 || -
+
| D. Fail || 0-49 || -
 
|}
 
|}
   
Line 134: Line 110:
 
! Activity Type !! Percentage of the overall course grade
 
! Activity Type !! Percentage of the overall course grade
 
|-
 
|-
  +
| Final assignment (Exam) || 50
| Assignment || 45
 
 
|-
 
|-
| Quizzes || 20
+
| CV || 15
 
|-
 
|-
| In-class activity || 15
+
| Cover Letter || 15
 
|-
 
|-
| Exams || 20
+
| Profile on LinkedIn || 10
  +
|-
  +
| Attendance more than 90% of lectures || 5
  +
|-
  +
| Active engagement, the class vote || 5
 
|}
 
|}
   
 
=== Recommendations for students on how to succeed in the course ===
 
=== Recommendations for students on how to succeed in the course ===
  +
na
Participation is important. Showing up is the key to success in this course.<br>You will work individually, however, getting help from others is acceptable<br>Review lecture materials before classes to do well in quizzes.<br>Reading the recommended literature is optional and will give you a deeper understanding of the material.
 
   
 
== Resources, literature and reference materials ==
 
== Resources, literature and reference materials ==
   
 
=== Open access resources ===
 
=== Open access resources ===
  +
* Ted Talk by Amy Cuddy ‘Your body language may shape who you are’
* Sebastian Thrun. Probabilistic robotics. Communications of the ACM, 45(3):52–57, 2002.
 
  +
* Tone Crabbe, How to thrive in a world of too much
  +
* Useful presentation phrases
  +
* The Commencement address delivered by Steve Jobs at Stanford University, 2005
  +
* The Labour Code of the Russian Federation
   
 
=== Closed access resources ===
 
=== Closed access resources ===
  +
* Robert Grover Brown, Patrick YC Hwang, et al. Introduction to random signals and applied Kalman filtering, volume 3. Wiley New York, 1992.
 
* Gregor Klancar, Andrej Zdesar, Saso Blazic, and Igor Skrjanc. Wheeled mobile robotics: from fundamentals towards autonomous systems. Butterworth-Heinemann, 2017.
 
* Roland Siegwart, Illah Reza Nourbakhsh, and Davide Scaramuzza. Introduction to autonomous mobile robots. MIT press, 2011.
 
   
 
=== Software and tools used within the course ===
 
=== Software and tools used within the course ===
 
* Provide at least 3 open/freemium access tools
 
* Provide at least 3 open/freemium access tools
  +
* na
* Gazebo https://gazebosim.org/home
 
* ROS, https://www.ros.org/
 
* ROS2 https://docs.ros.org/en/foxy/index.html
 
 
= Teaching Methodology: Methods, techniques, & activities =
 
= Teaching Methodology: Methods, techniques, & activities =
   
Line 167: Line 147:
 
|+ Activities within each section
 
|+ Activities within each section
 
|-
 
|-
! Learning Activities !! Section 1 !! Section 2 !! Section 3
+
! Learning Activities !! Section 1 !! Section 2 !! Section 3 !! Section 4
 
|-
 
|-
| Lectures || 1 || 1 || 1
+
| Lectures || 1 || 1 || 1 || 1
 
|-
 
|-
| Interactive Lectures || 1 || 1 || 1
+
| Interactive Lectures || 1 || 1 || 1 || 1
 
|-
 
|-
| Lab exercises || 1 || 1 || 1
+
| Quizzes (written or computer based) || 1 || 1 || 0 || 0
 
|-
 
|-
| Development of individual parts of software product code || 1 || 1 || 1
+
| Peer Review || 1 || 1 || 1 || 1
 
|-
 
|-
| Individual Projects || 1 || 1 || 1
+
| Discussions || 1 || 1 || 1 || 1
 
|-
 
|-
| Quizzes (written or computer-based) || 1 || 1 || 1
+
| Simulations and role-plays || 1 || 1 || 1 || 1
|-
 
| Discussions || 1 || 1 || 1
 
|-
 
| Presentations by students || 1 || 1 || 1
 
|-
 
| Written reports || 1 || 1 || 1
 
|-
 
| Experiments || 0 || 0 || 1
 
 
|}
 
|}
 
== Formative Assessment and Course Activities ==
 
== Formative Assessment and Course Activities ==
Line 199: Line 171:
 
! Activity Type !! Content !! Is Graded?
 
! Activity Type !! Content !! Is Graded?
 
|-
 
|-
  +
| Test || 1. Describe the difference between hard skills and soft skills.<br>2. List soft skills<br>3. List communication skills<br>4. What is the key concept about Body Language described by Amy Cuddy? How does our body language govern how we think and feel about ourselves?<br>5. List hygienic and non-hygienic factors as per Herzberg Theory<br>6. Write down your personal brand statement<br>7. List leadership skills || 0
| Quiz || Control to reference pose<br>Control to reference pose via an intermediate point<br>Control to reference pose via an intermediate direction<br>Control by a straight line and a circular arc<br>Reference path control<br>Wheel kinematics constraints: rolling contact and lateral slippage<br><br><br> || 10
 
|-
 
| Individual Assignments || A1: Control by a straight line and a circular arc<br><br>Submit a report and source code:<br>- Experimenting on different scenarios <br>- Check problem formulation and implementation accuracy <br><br>A2: Parallel parking<br>Submit a report and source code:<br>- Checking the assumptions that are made to formulate the parallel parking scenario <br>- Check problem formulation and implementation accuracy <br><br>A3: Wheeled Mobile System Control: pose and orientation<br>Define a simple controller that is able to follow a given reference path where position and orientation have to be optimally controlled <br><br>Submit a report and source code:<br>- Experimenting on different scenarios <br>- Check problem formulation and implementation accuracy || 20
 
 
|}
 
|}
 
==== Section 2 ====
 
==== Section 2 ====
Line 209: Line 179:
 
! Activity Type !! Content !! Is Graded?
 
! Activity Type !! Content !! Is Graded?
 
|-
 
|-
  +
| Quiz || What is difference between sales and negotiation?<br>What comes first and why?<br>What is BATNA?<br>Why is BATNA important?<br>What does ‘bargain over position’ mean?<br>Describe the concept of fairness in negotiation<br>What is ZOPA? <br>Why do you need to define ZOPA?<br>What does STAR stand for? <br>Revision: how do we answer to objections and how we answer if we are asked about salary expectations.<br>What are businesses’ key objectives?<br>What value can you bring to business? || 0
| Quiz || 1. Estimation from measurements and estimation from measurements and controls<br>2. Multidimensional Kalman filter with sensor fusion <br>3. Particle filter algorithm for state estimation <br> || 5
 
 
|-
 
|-
  +
| Quiz || Objections – Answers<br>Salary expectations - Answers || 0
| Individual Assignments || A1: Design different types of robot motion models and add appropriate state estimation techniques<br>Implementation of the motion model for car-like ground vehicle and simulate it in various environments <br>Submit a report and source code:<br>- Experimenting on different scenarios <br>- Check problem formulation and implementation accuracy <br><br>A2: Comparison of the accuracy of robot trajectory using several state estimation techniques <br>Implementation of Kalman filter and Particle filter based state estimation and compare them each other <br><br>Submit a report and source code:<br>- Checking the implementation accuracy <br>- Checking how importance sampling, resampling, and parameter estimation were implemented <br><br>A3: Robot pose estimation using Gaussian and Non-Gaussian based state estimation techniques<br>Develop Gaussian and Non-Gaussian-based state estimation technique for linear and nonlinear motion model for a following to reference path. <br><br>Submit a report and source code:<br>- Experimenting on different scenarios <br>- Check problem formulation and implementation accuracy <br>- Check the performance in terms of model accuracy || 15
 
 
|}
 
|}
 
==== Section 3 ====
 
==== Section 3 ====
Line 219: Line 189:
 
! Activity Type !! Content !! Is Graded?
 
! Activity Type !! Content !! Is Graded?
 
|-
 
|-
  +
| Quiz || Na || 0
| Quiz || 1. Formulation of Pinhole camera model<br>2. Understanding of the connection between the image plane and camera plane<br>3. Depth estimation using Epipolar geometry <br> || 5
 
  +
|}
  +
==== Section 4 ====
  +
{| class="wikitable"
  +
|+
 
|-
 
|-
  +
! Activity Type !! Content !! Is Graded?
| Individual Assignments || A1: Estimate object size using a monocular camera <br>Develop an algorithm to detect object width and height for a specified camera parameter <br>Submit a report and source code:<br>- Experimenting on objects to check the accuracy of the estimation <br>- Check problem formulation and implementation accuracy <br><br>A2:Estimate the depth of the object using a point cloud and stereo camera<br>Given a point cloud estimate real object center point in the world coordinate frame <br><br>Submit a report and source code:<br>- Experimenting on different point clouds <br>- Checking the accuracy of the pose estimation <br>A3: Finding projection matrix using Direct Linear Transform (DLT)<br>This for checking the understanding of concepts of monocular vision: Pinhole camera model, image plane, camera lane, projection matrix, projective transformation. Given point cloud in the world coordinate, convert them into camera coordinates <br><br>Submit a report and source code:<br>- Checking the accuracy of the pose estimation <br>- Check problem formulation and implementation accuracy <br>- Compare results with different point clouds || 15
 
  +
|-
  +
| Quiz || Na || 0
 
|}
 
|}
 
=== Final assessment ===
 
=== Final assessment ===
 
'''Section 1'''
 
'''Section 1'''
# Can be a final exam, project defence, or some other equivalent of the final exam.
+
# Can be a final exam, project defense, or some other equivalent of the final exam.
# For the final assessment, students present the project work they have accomplished during the course. Below are the grading criteria for each section.
+
# For the final assessment, students go through mock interview. Student are not allowed to take exam if they have not submitted a CV and a Cover Letter.
  +
# Final assessment (Exam):
# 1. Kinematics of wheeled mobile robots: internal, external, direct, and inverse
 
  +
# To pass a mock interview – 50%
# Differential drive kinematics
 
  +
# Provide a convincing answer to the question: Tell me about yourself – 10%
# Bicycle drive kinematics
 
  +
# Not avoid eye contact, communicate clearly and precisely, look friendly, self-confident – 10%
# Rear-wheel bicycle drive kinematics
 
  +
# Communicate clearly their brands, what value they can bring to business giving a clear answer to the question Why should we hire you – 15%
# Car(Ackermann) drive kinematics
 
  +
# Negotiate for salary – 15
# 2. Wheel kinematics constraints: rolling contact and lateral slippage
 
# 3. Wheeled Mobile System Control: pose and orientation
 
# 4. Robot pose estimation using Gaussian and Non-Gaussian based state estimation techniques
 
# 5. Different techniques for importance sampling in the particle filter
 
# 6. Applying Kalman Filter for nonlinear system
 
# 7. Concepts of EKF-based localization and particle filter-based localization
 
 
'''Section 2'''
 
'''Section 2'''
   
 
'''Section 3'''
 
'''Section 3'''
  +
  +
'''Section 4'''
   
   
 
=== The retake exam ===
 
=== The retake exam ===
 
'''Section 1'''
 
'''Section 1'''
  +
# The grading criteria are the same as for the final exam
# For the retake, students have to implement a given state estimation problem. First, need to formulate it with logical reasons for justifying it. Second, need to develop the proposed idea in a simulated setup. Answer a set of theoretical questions that comes from section 1, section 2, and section 3.
 
 
'''Section 2'''
 
'''Section 2'''
   
 
'''Section 3'''
 
'''Section 3'''
  +
  +
'''Section 4'''

Revision as of 13:36, 9 February 2023

Introduction to Career Development

  • Course name: Introduction to Career Development
  • Code discipline: R-01
  • Subject area: Humanities

Short Description

The course provides students with an opportunity to learn and develop the necessary skills to engage in career planning and choice. During the course students will learn how to write selling CVs and Cover letters, how successfully pass job interviewы, how to sell themselves and how to negotiate for salary. On top of that we will cover personal brand development and career planning. We will go through the Labor Law so that they can stand up for their rights. We will also cover microeconomics and then dive deeper on to micro level and, particularly, how students as engineers can contribute to the business. We will cover corporate culture, manipulation and boundaries violations, so that students could assert their boundaries to others at workplace. By the end of the course, students will have a clear answer to a question what value they can bring to the company, how they differentiate themselves, how they stand out from the crowd. The key concepts are sales, negotiation, personal brand, value proposition, competitive advantage, corporate culture, motivation. We will practice a lot by running mock interviews and salary negotiations. By the end of the course, students will have a written CV, a Cover letter, a personal brand statement, and a profile on hh.ru or Linkedin.

Prerequisites

Prerequisite subjects

  • n/a

Prerequisite topics

  • n/a

Course Topics

Course Sections and Topics
Section Topics within the section
Soft skills and Personal Brand
  1. Soft skills and Networking
  2. Self-confidence and Body language
  3. Personal Brand
  4. Leadership skills
How to write CV/Resume/Cover letter and pass job interviews
  1. CV
  2. Cover letter
  3. Types of Job interviews, types of questions in an interview
  4. What business needs, and how engineers can contribute to business
  5. Sales and Negotiation
  6. Negotiation for salary and pay rise
Work environment
  1. Corporate culture
  2. Manipulation and boundaries violation
  3. Labor law
Career development paths
  1. What is capitalization and monetization
  2. Career choice. Career paths
  3. How to transform career
  4. Slash careers

Intended Learning Outcomes (ILOs)

What is the main purpose of this course?

What is the main goal of this course formulated in one sentence? The main goal of this course is to help students gain skills to sell themselves during job and negotiate for salary, and have mindset that they need to drive their career

ILOs defined at three levels

Level 1: What concepts should a student know/remember/explain?

By the end of the course, the students should be able to ...

  • Understand macroeconomics and economy of organizations on high level and what the main goal of organizations is
  • Understand concepts of manipulation and boundaries violation
  • Know the Labor Law of Russia
  • Differentiate between sales and negotiation
  • Understand how hiring process in organisations
  • Explain what personal brand is and how to build it
  • Elaborate on soft skills and why they are important

Level 2: What basic practical skills should a student be able to perform?

By the end of the course, the students should be able to ...

  • Focus on soft skills and personal development
  • Define the structure of CVs and Cover letters or Motivation letters
  • Define the structure of hiring process and job interviews
  • Develop personal brand
  • Increase their contribution to business

Level 3: What complex comprehensive skills should a student be able to apply in real-life scenarios?

By the end of the course, the students should be able to ...

  • Write CVs and Cover letters or Motivation letters
  • Go through job interview, sell themselves and negotiate for salary and land a job
  • Clearly answer questions by telling the story: Tell me about yourself
  • Explicitly answer the questions: Why should we hire you? What value can you bring to business?
  • Plan their careers
  • Reinforce their personal brand

Grading

Course grading range

Grade Range Description of performance
A. Excellent 85-100 -
B. Good 70-84 -
C. Satisfactory 50-69 -
D. Fail 0-49 -

Course activities and grading breakdown

Activity Type Percentage of the overall course grade
Final assignment (Exam) 50
CV 15
Cover Letter 15
Profile on LinkedIn 10
Attendance more than 90% of lectures 5
Active engagement, the class vote 5

Recommendations for students on how to succeed in the course

na

Resources, literature and reference materials

Open access resources

  • Ted Talk by Amy Cuddy ‘Your body language may shape who you are’
  • Tone Crabbe, How to thrive in a world of too much
  • Useful presentation phrases
  • The Commencement address delivered by Steve Jobs at Stanford University, 2005
  • The Labour Code of the Russian Federation

Closed access resources

Software and tools used within the course

  • Provide at least 3 open/freemium access tools
  • na

Teaching Methodology: Methods, techniques, & activities

Activities and Teaching Methods

Activities within each section
Learning Activities Section 1 Section 2 Section 3 Section 4
Lectures 1 1 1 1
Interactive Lectures 1 1 1 1
Quizzes (written or computer based) 1 1 0 0
Peer Review 1 1 1 1
Discussions 1 1 1 1
Simulations and role-plays 1 1 1 1

Formative Assessment and Course Activities

Ongoing performance assessment

Section 1

Activity Type Content Is Graded?
Test 1. Describe the difference between hard skills and soft skills.
2. List soft skills
3. List communication skills
4. What is the key concept about Body Language described by Amy Cuddy? How does our body language govern how we think and feel about ourselves?
5. List hygienic and non-hygienic factors as per Herzberg Theory
6. Write down your personal brand statement
7. List leadership skills
0

Section 2

Activity Type Content Is Graded?
Quiz What is difference between sales and negotiation?
What comes first and why?
What is BATNA?
Why is BATNA important?
What does ‘bargain over position’ mean?
Describe the concept of fairness in negotiation
What is ZOPA?
Why do you need to define ZOPA?
What does STAR stand for?
Revision: how do we answer to objections and how we answer if we are asked about salary expectations.
What are businesses’ key objectives?
What value can you bring to business?
0
Quiz Objections – Answers
Salary expectations - Answers
0

Section 3

Activity Type Content Is Graded?
Quiz Na 0

Section 4

Activity Type Content Is Graded?
Quiz Na 0

Final assessment

Section 1

  1. Can be a final exam, project defense, or some other equivalent of the final exam.
  2. For the final assessment, students go through mock interview. Student are not allowed to take exam if they have not submitted a CV and a Cover Letter.
  3. Final assessment (Exam):
  4. To pass a mock interview – 50%
  5. Provide a convincing answer to the question: Tell me about yourself – 10%
  6. Not avoid eye contact, communicate clearly and precisely, look friendly, self-confident – 10%
  7. Communicate clearly their brands, what value they can bring to business giving a clear answer to the question Why should we hire you – 15%
  8. Negotiate for salary – 15

Section 2

Section 3

Section 4


The retake exam

Section 1

  1. The grading criteria are the same as for the final exam

Section 2

Section 3

Section 4