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ـه1442   يناثلا عيبر                                            Forum           17
                                                                     م2020  برمفون   224
          3D Car model using

          Photogrammetry and                                                                  AI Boot Camp Series_

          Aerial Surveying                                                                    First Training "Python


                                                                                              Learning"

          The RIOTU Lab has conducted a photogrammetry mission
          of  3d  modeling  a  car  using  a  drone.    The  mission  is  to
          perform an Aerial Survey of the car to develop 3d high-                             AIDA  Lab  organized  the  success  expertise.  After  the  successful
          resolution model.                                                                   first  online  Instructor-led  training  completion  of  the  training,  the
          The team has located a proper area at PSU prior to flying in                        of AI  Bootcamp series  for faculty,   trainees were awarded the AI Boot
                                                                                              research  scholars,  students  &
          order to avoid any obstacles and fulfill the mission.                               for  beginners  in  IT  Professional.   Camp  Attendance  certificate  and
          The team was composed of the following members:                                     There was a good  number of    Appreciation  Certificate  was  given
          ● Prof. Anis Koubaa, team leader                                                    enrollment and  they were  highly   to the trainer. AIDA lab is grateful for
          ● Mr. Rayan Al Akkad, UAV Expert at RIOTU Lab                                       satisfied  with  the  contents,  mode  the cooperation and support of the
          ● M. Anas Kanhouch, Research Engineer at RIOTU Lab                                  of training  delivery and  trainer’s  trainer, Ms Erum Afzal.
          ● M. Yasser AlHabashi, Research Engineer at RIOTU Lab
          Finally,  after  performing  several  experiments,  the  last
          mission was successful and the results were promising.






           Webinar: valuation of a Target

           Company with the support of

           Bloomberg Terminal



           Organized By: FIN470 Instructors – Event Planned by Dr. Priyanka Aggarwal
           Date: 1st November 2020
           Presenter: Ms. Mona A. Alblehed, CFA, Investment Manager – Rokayah Investments,
           PSU alumnus with Bachelor of Science in Finance, AY 2008 -2013
           No. of Participants: 50 students registered in FIN470 and CFA Research Challenge Participants

           Brief Description                       analyst recommendations for buying, holding
           The  webinar  is  delivered  by  Ms.  Mona  A.  or  selling  the  stock.  She  demonstrated  how
           Alblehed.  CFA,  the  investment  manager  of   to do all the analysis and data retrieved from
           Rokayah  Investment.  She  started  the  lecture   the Bloomberg platform. The last part of the
           by  explaining  the  first  step  in  choosing  the   lecture was to analyze the company applying
           target  company  for  the  portfolio,  which  is   the  DCF,  DDM  and  Peer  analysis  methods.
           analyzing  the  macroeconomic, then  move to
           the  chosen  company whether  the  company   The lecture is very important and fruitful for
           fits  overall  existing  portfolio.  Ms.  Mona  also   both students to  work on their projects  and
           gave the quick guide in analyzing the company,   to get ready for the real-world job. It has been
           such  as  analyze  the  financial  statements   suggested to  have more focused workshop
           using the ratios, compare it to the peers, find  on this area with Ms. Mona, such as financial
           the  revenues  and  costs  drivers,  and  find  the  modelling.
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