- Session 1 - Introduction to Project Management
- Session 2 - Initiating and Planning a Project
- Session 3 - Planning and Execution
- Session 4 and 5 - Agile Projects
- Session 6 - Hybrid Project Management
- Session 7 - Project Portfolio and Change Management
- Session 8 - Scaling Agile
Online modality:
The teaching methodology used in the online modality is based on a proprietary methodology developed by La Salle URL called SDBL (Self Directed Based Learning). SDBL is an active methodology based on situational learning and self-directed learning. With situational learning, the student is taught, through challenges, to address real problems and situations of the company with which he/she can consolidate the new knowledge acquired. With self-directed learning, the student decides how to advance in their training based on their previous experience.
On a weekly basis, the LMS (Learning Management System) platform releases the content of a new topic. The way the week works is as follows:
- Synchronous kick-off session:
o The teacher gives an overview of the contents and tasks that the student will encounter during the week. The objective of this meeting is to try to discover and reveal on a personal level which aspects of the week's topics may be more difficult for the individual student.
o The teacher resolves possible doubts of the students about the previous week's topic.
- Between synchronous connections:
o The student visualizes the content of the sessions and develops the tasks given to him/her about the topic of the week to consolidate knowledge and identify doubts.
- Synchronous check point session:
o The teacher solves any doubts the students may have about the contents of the current week.
o The teacher presents additional content or case studies, which are of interest to the students.
o The teacher generates debate and discussion among the students about the contents of the week in course with the objective of helping the students in their assimilation, therefore, improving their learning.
o The teacher provides oral feedback on the deliverables recorded by the students in the previous week's feedback well, emphasizing the difficulties and errors encountered. This instance is for feedback only and not for grading. The feedback wells are an instrument for the students to validate with the mentor, in general terms, the resolution of the tasks set. In this way, the feedback wells are created to give the mentee an opportunity to test the answers with the mentor. Based on the feedback provided by the mentor, the student will be able to finish developing the task and present it as a final deliverable, with the advantage of having had previous advice from the teacher.
- Rest of the week. The objective is to finish the development of the tasks of the current week based on the clarifications received in the synchronous check point session to overcome the exercises, tasks and/or deliverables of the topic. It is worth mentioning that most of the time dedicated during this last part of the week should be spent on solving the tasks and deliverables, rather than on assimilating content (an aspect that should have been resolved between the kick-off and check point sessions).
The LMS platform makes the gradual opening of content (week by week) so that the whole group follows the same academic itinerary. In other words, the sequential opening of topics is done so that all students in the program are working on the same subjects simultaneously.
On-site modality:
The methodologies used are learning by doing and case method.
A session combines the teaching of concepts with the creation of a project or the resolution of a practical case.
There are sessions where it is not necessary to prepare any case in advance, but in others the students will prepare the case during the week, individually, and then solve it in class through a discussion with the help of the teacher.
Online modality:
Subject grade:
Deliverables Sessions 70%: Each student must deposit in the delivery well by the date indicated at the latest.
- Making a Project Charter 10%.
- Choice of methodology 30%.
- The schedule and the WBS 30%.
Final evaluation 30%: Students will work in groups to solve an exercise proposed by the teacher. This exercise will be defended by each group during the evaluation weeks.
The teacher will publish the grades in the portal and, if any student needs more information about it, he/she can contact the teacher directly by email.
Demonstrate academic integrity in the totality of their work.
If the student is caught cheating in any type of exam, plagiarism or rehashing of exercises, activities, assignments, presentations or delivering a team work in which he/she has not collaborated, it will be considered fraud, penalizing the final grade of the course or even being considered as not delivered.
The student and the group must ensure that the work they submit is their own. The student is responsible for citing all sources relied upon in their submissions, using quotation marks when language is taken directly from other sources.
Use of Artificial Intelligence tools
Artificial intelligence (AI) can help in the learning process, but its use must be acknowledged. If you have used any AI tools, include a paragraph at the end of any assignment that uses AI explaining what you used the AI for and what prompts you used to obtain the results. Failure to do so will be considered as an action that tends to falsify or defraud the academic evaluation systems and, therefore, the copying policy of La Salle Campus Barcelona - Copying Policy | La Salle | Campus Barcelona (salleurl.edu) will be applied.
In those subjects or teaching activities in which the academic guide indicates the prohibition of using AI tools, the use of these tools by students will be considered fraud and will entail the application of the copying policy of La Salle Campus Barcelona.
On-site modality:
Course grade:
Final presentation of the course 60%: Each group must deposit in the well, before the last session, the presentation of their project portfolio with the resolution of the problems posed.
Final test 20%: In the last session the students will have to pass a multiple choice test.
Class work 20%: The practical cases carried out in class will be evaluated.
Subsequently, the professor will post the grades in eStudy and, if any student needs more information about it, he/she can contact the professor directly by email.
Demonstrate academic integrity in the totality of their work.
If a student is caught cheating in any way on an exam, plagiarizing or rewriting exercises, activities, assignments, presentations, or submitting team work that he/she has not collaborated on, be prepared to receive a penalty in the final grade for the course.
The student and the group must ensure that the work they submit is their own. The student is responsible for citing all sources relied upon in their submissions, using quotation marks when language is taken directly from other sources.
Use of Artificial Intelligence tools
 
Artificial intelligence (AI) can help in the learning process, but its use must be acknowledged. Assuming you have used any AI tools, include a paragraph at the end of any assignment that uses AI explaining what you used the AI for and what prompts you used to obtain the results. Failure to do so will be considered as an action that tends to falsify or defraud the academic evaluation systems and, therefore, the copying policy of La Salle Campus Barcelona - Copying Policy | La Salle | Campus Barcelona (salleurl.edu) will be applied.
Online modality:
The following list is the evaluation criteria for the deliverables of the course:
- Deliverable Topic 1
o Completion of the Project Charter
- Deliverable Topic 2
o Methodology
- Deliverable Topic 3
o WBS Schedule
- Final Deliverable
On-site modality:
- In the resolution of exercises and course work the criteria to be taken into account are:
 Understanding of the situation posed
 Definition and analysis of the problems posed by the case.
- Recording of the main issues
 Proposed solutions
- Realism and appropriateness of the proposed solution(s)
- Argumentation in defense of the proposed solution(s)
- Strengths and benefits of the proposed solution(s)
- Implications of the proposal(s) (economic and management)
PMPBOK, PMI
Project Management for Humans: Helping People Get Things Done, Brett Harnard
Making Things Happen: Mastering Project Management, Scott Berkun
Swipe to Unlock: The Primer on Technology and Business Strateg, Parth Detroja, Neel Mehta, Aditya
Agashe
Risk Up Front: Managing Projects in a Complex World, Adam Josephs and Brad Rubenstein