COMPUTER APPLICATIONS IN PHARMACEUTICAL TECHNOLOGY

Course Information
TitleΕΦΑΡΜΟΓΕΣ Η/Υ ΣΤΗ ΦΑΡΜΑΚΕΥΤΙΚΗ ΤΕΧΝΟΛΟΓΙΑ / COMPUTER APPLICATIONS IN PHARMACEUTICAL TECHNOLOGY
CodeΦΤ0002
FacultyHealth Sciences
SchoolPharmacy
Cycle / Level2nd / Postgraduate, 3rd / Doctorate
Teaching PeriodWinter/Spring
CommonNo
StatusActive
Course ID180000019

Programme of Study: PPS of School of Pharmacy (2014-)

Registered students: 4
OrientationAttendance TypeSemesterYearECTS
Pharmaceutical TechnologyCompulsory Course1110

Programme of Study: PPS of School of Pharmacy (2012-today)

Registered students: 0
OrientationAttendance TypeSemesterYearECTS
Pharmaceutical TechnologyCompulsory Course1110

Class Information
Academic Year2017 – 2018
Class PeriodWinter
Faculty Instructors
Weekly Hours3
Class ID
600111115
Course Type 2016-2020
  • Scientific Area
  • Skills Development
Course Type 2011-2015
Specific Foundation / Core
Mode of Delivery
  • Face to face
Digital Course Content
Erasmus
The course is also offered to exchange programme students.
Language of Instruction
  • Greek (Instruction, Examination)
  • English (Instruction, Examination)
Prerequisites
General Prerequisites
GRADE ABOVE 7 IN THE UNDERGRADUATE LEVEL SUBJECTS SPECIAL PHARMACEUTICAL TECHNOLOGY, PHARMACEUTICAL ANALYSIS, DISPENSING.
Learning Outcomes
At the end of the course, the students have knowledge of the following: a) The basic characteristics and the application of sensors to the pharmaceutical operations such as tabletting, granulation, powder flow and crystallization. b) Their application in the measurement of the mechanical strength of granules, pellets and tablets determined from compression and tensile tests that are applied for the control of the technical specifications of pharmaceutical products. c)methods for processing and analysis of data using statistical programs (SPSS, DesignExpert, SigmaPlot, Origin)and Neural Networks. Skills: Familiarization with measurement and harvesting data systems for the study of pharmaceutical operations and application of the aqcuired knowledge for the solution of formulation problems
General Competences
  • Apply knowledge in practice
  • Retrieve, analyse and synthesise data and information, with the use of necessary technologies
  • Make decisions
  • Work autonomously
  • Work in teams
  • Work in an international context
  • Advance free, creative and causative thinking
Course Content (Syllabus)
Collection, recording, processing and analysis of data using computers a) Collection and recording of data: Sensors, interfacing sensors with signal conditioning and data harvesting instruments,data recording in Excel files. b) Processing and analysis of data: (i) Factorial designs and analysis programs. Types and selection of suitable factorial designs. Multiple linear regression and evaluation of predictive models. Multifactorial analysis of variance. Response surface and optimization methods. Application of statistical and graphical software programs SPSS, EXCEL, SIGMAPLOT. (ii) Data analysis using Neural Networks. (iii) Exploratory data analysis, data visualization, interactive dynamic graphics.
Keywords
Sensors, processing and analysis of data, factorial designs
Educational Material Types
  • Notes
  • Slide presentations
  • Multimedia
  • Interactive excersises
  • Book
Use of Information and Communication Technologies
Use of ICT
  • Use of ICT in Course Teaching
  • Use of ICT in Laboratory Teaching
  • Use of ICT in Communication with Students
Description
The lectures and the practical sessions are assisted by the use of computers and electronic and multi-media presentations).
Course Organization
ActivitiesWorkloadECTSIndividualTeamworkErasmus
Lectures391.3
Laboratory Work260.9
Reading Assigment130.4
Written assigments130.4
Total913.0
Student Assessment
Description
3-hours written examination at the end of winter semester. Evaluation is based on 5-6 questions from the Lecture notes. The results are publicised in the notice board on the 2nd floor of Biology-Pharmacy building, about one week following the written examination. Prior to sitting exams, the students have to present a report of lab work in a the format of a paper.
Student Assessment methods
  • Written Exam with Short Answer Questions (Summative)
  • Written Assignment (Summative)
  • Oral Exams (Formative)
  • Performance / Staging (Formative)
  • Labortatory Assignment (Formative)
Bibliography
Course Bibliography (Eudoxus)
Σημειώσεις μαθήματος 'ΕΦΑΡΜΟΓΕΣ Η/Υ ΣΤΗ ΦΑΡΜΑΚΕΥΤΙΚΗ ΤΕΧΝΟΛΟΓΙΑ'
Additional bibliography for study
Gardner, J.W., “Principles and application of microsensors”, Tziola editions, Thessaloniki (2000) - Baylac, G., Delalonde, M., Bataille, B., Jacob, M. et Puech A., “Conception et developpement d’un appareil de mesure appliqué a la rheologie des poudres humidifiees : le compresso-rheometre“ S.T.P. Pharma Pratiques 5(6) 495-501 (1995). - Bechard, S.R. and Down, G.R.B., “Infrared imaging of pharmaceutical materials undergoing compaction” Pharmaceutical Research, 9(4), 521-528, (1992). - Cole, G.C. and May, G., “The instrumentation of a Zanasi LZ/64 capsule filling machine“ J. Pharm. Pharmac., 27, 353-358, (1975). - Doelker, E. and Massuelle, D., “Benefits of die-wall instrumentation for research and development in tabletting” Eur. J. Pharm. Biopharm. 58, 427-444 (2004). - Gardner, J.W., “Μικροαισθητήρες αρχές και εφαρμογές”, εκδόσεις Τζιόλα, Θεσσαλονίκη, (2000). - Hoffman, K., “An introduction to measurements using strain gauges”, Hottinger Baldwin Messtechnik GmbH, Darmstadt, (1989).
Last Update
19-09-2013