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To complete the EEBL degree and fulfill the established requirements, students must choose to participate in a further training activity from those indicated below. Upon completion of the activity, students are required to submit a request for the credit recognition of 6 CFU. For the 2021-2022 academic year, students may choose one of three ways to earn 6 extra activity CFU: Statistical Research Seminar, Soft Skills Seminar, Internship.

 

Data Analytics with Excel Seminar 

Students may find a series of video tutorials to use as a foundation before beginning the computer seminar. Students will receive 6 CFU for this training activity if they attend a minimum of 80% of the lectures and successfully pass the final exam. Course objectives include the acquisition of the basic concepts of Information and Communication Technologies (ICT), and knowledge and skills in the following areas:
Pivot Table
o Easy Data Analysis
o With the help of excel pivot tables, it is possible to handle large quantities of data in one single go.
o These tables allow taking a large amount of data and working on it in such a way it is possible to view only a few data fields.
o This helps in the easy analysis of a large amount of data.
VBA
o Microsoft Excel VBA allows for automating tasks in Excel and provides a full programming environment for data analysis.
o Excel VBA is commonly used in high finance and frequency trading applications for creating and validating financial models.
o Using Excel VBA will be our first practice with programming and allow us to explore fundamental programming concepts of commands, variables, decisions, repetition, objects, and events.
Solver
o Solver is a Microsoft Excel add-in program used for what-if analysis.
o Solver finds an optimal (maximum or minimum) value for a formula in one cell — called the objective cell — subject to constraints, or limits, on the values of other formula cells on a worksheet.
o Solver works with a group of cells, called decision variables or simply variable cells that are used in computing the formulas in the objective and constraint cells.
o Solver adjusts the values in the decision variable cells to satisfy the limits on constraint cells and produce the result you want for the objective cell.
o Methods used by Excel Solver are the following: Generalized Reduced Gradient (GRG) Nonlinear, used for problems that are smooth nonlinear; LP Simplex, used for problems that are linear; Evolutionary, used for problems that are non-smooth.

Seminar Date

Seminar Time (Room S2)

11 November 2021 4:00 pm - 6:00 pm
12 November 2021 9:00 am - 11:00 am
18 November 2021 4:00 pm - 6:00 pm
19 November 2021 9:00 am - 11:00 am
25 November 2021 4:00 pm - 6:00 pm
26 November 2021 9:00 am - 11:00 am
2 December 2021 4:00 pm - 6:00 pm
3 December 2021 9:00 am - 11:00 am
9 December 2021 4:00 pm - 6:00 pm
10 December 2021 9:00 am - 11:00 am

Soft Skills Seminar (2020/2021)

From the Ministry of Foreign Affairs, Mr. Grammenos Mastrojeni will present a useful series of lectures on how to be more professional and prepared to enter today's workforce. The workshop lectures will take into consideration an array of skills that are essential for finding a keeping a job. Students are encouraged to read the material regarding public speaking as well as negotiation techniques. In order to receive extra activity credit, students must be present for each seminar (no less than 80% attendance). The seminars will be structured as follows:

  • Intercultural Relations Prejudices, comparison of scales of values, personal "filters", levels of language (verbal, somatic, space management).
  • Negotiation Techniques and tactics, interests and rationalization of negotiations; from the positional negotiation to the search for mutual benefit; interest analysis techniques; the "BATNA" (Best Alternative to A Negotiated Agreement); agreement on the substance of an agreement vs agreement to make an agreement; typical negotiating dynamics; training and cohesion of the delegation; management of non-verbal spaces and dimensions; exercises.
  • Public Speaking and Relations with the Media: a) Frontal exposure - the difference between the illustrated substance and the desired result; audience analysis; logical-verbal dimension; postural and environmental management; times of attention; rhetorical expedients. b) Cooperative debate - establishing an "alliance"; the "grafts"; the reinforcement echo; timing and order of interventions. c) Competitive debate - negotiation on stage; attack the opponent or attack his arguments; the basic choice, endorse or delegitimize the opponent. d) Relations with the media - standard methods of communication (press release, interview, press point, press conference); "web" mode; the rules of Quote engagement, in off, confidential; the "relationship" with the journalist, get him on your side. Careers in Development Cooperation a) Introduction, "life choices rather than professional choices"; b) The NGO world; c) The European Union; d) The United Nations universe; e) How to write an application.
DATE TIME ROOM/VIRTUAL CLASSROOM
6 May 2021  9.00-13.00/14.00-17.00 TBA
7 May 2021  9.00-13.00/14.00-17.00 TBA
8 May 2021  10.00-13.00/14.00-17.00 TBA

 

EEBL Curricular Internships

The EEBL Programme Office, along with the Desk Imprese Office and Tor Vergata Placement Office, propose a series of curricular internships for EEBL students to consider as excellent opportunities to gain useful experience in the workplace where skills can be honed practical experience can be gained in specific professional sectors. All curricular internships must be formalized through the Desk Imprese Office or through the Erasmus Traineeships Office in order for students to request credit recognition. All internships must be initiated during the time of study and completed at least 45 days before graduation. For further details regarding current traineeship opportunities, students should consult the Curricular Internships page of the EEBL website.

 

 

 

MATLAB Onramp

Students may complete a MATLAB certification for 6 CFU. Participants will be required to open an account and download the free MATLAB software http://docs.ccd.uniroma2.it/matlab/ that will be used throughout the duration of the online course. Students may learn MATLAB Onramp at their own pace using the online training materials and lessons found here: https://www.mathworks.com/learn/tutorials/matlab-onramp.html . MATLAB Onramp provides an introduction to the MATLAB language. This training course provides practical MATLAB experience via the use of an integrated, web-based version of MATLAB and covers the basics of importing data, manipulating arrays, creating visualizations, and much more. The course takes approximately two hours to complete. However, students may follow the lectures at their own pace; for example, after starting the training session, it is possible to leave it and come back to it later. Once students have successfully completed the online course, they should contact msc@eebl.uniroma2.it  to send their certificate of completion and to register for the EEBL MATLAB exam. The next dates are scheduled for 24 June at 3:00 pm, 9 December 2021, and 8 June 2022.  After successfully passing the EEBL MATLAB exam, students may request credit recognition for the course by writing to msc@eebl.uniroma2.it.

Summer school and other training opportunities

The EEBL Programme Office, upon explicit request by individual students, will also take into consideration qualifying summer school programmes, information technology certificates and other activities that can be considered relevant to the EEBL degree programme and/or preparative activities for entrance into the workforce. Proposals submitted by students will be evaluated on an individual basis by the EEBL Academic Board. In order to be considered, all activities proposed by students must be initiated during the time of study and completed at least 45 days before graduation. Students may send proposals to msc@eebl.uniroma2.it. Students should seek pre-approval before beginning any activity, to request the explicit consent that CFU may be achieved through the completion of the specific activity.