tBMETgDJffR+z4474ZUWAA==;/P01SATMjlNpVCgYmLTF7vmrNhSjYO3/twR7NGOoH89c3n+Cv8URqS7AnS6KQSJVuYP2+oJrKB4+QftRryVBGGD1A0wCBcunLxXeiTjOp0QPMzhBX30l1u/joGP5mIrbwfU2ujslUQ/BnvpFe4H9/t0w1hf4eC2SvmoRQR0m9VNPnw1/eQg8ywPKSnS2k66NMoJTrGGR2Eh+yhbDCQmhcFtQA/kkm1qwcjRhQtGiZgQ+em6z4TkELDN5MbtDuu/4u2eA7iVBvH2Jvm8hl5SolYvJNohVBp6ayVCYpTEy79/k4w1gjsQ21UQ6SZcX+spKSiXDYIAZ1rC5Xdb+VGp+IdpQY8jf6XWWkh7YY9GurqkmU5xfRxGIKwjghdr6eTYkN7HkbzB9cQ+hAZ6y0JXs66Ruxpq+1Zjmb2b0Rb7A7TmEASJUTLhls7vEiET9ELyCIPa0ux/5dOm+3fa5dds0GeiG+5Ahs+qwfN5VJez49BpGHGWj3zUzo2VmELkzm8UKVvaZU191EmZY+u4IiXZZcMoVk2dxYmbt0rsfv9OBvoDc/+3K2bhfy0H59p0UkxyKErMkUQUYLxO7KbHnhU5wwlQE3BkAFCSCLbDYE1hSrpTkBUoxSpHaktqoKxMxU7MHV400doNczKevmBtVAp9yl/MCh20a7nuWBMVv4IeF8clq0Wf/lYklPKj/+4/9vObsVA10ct9WjQOk/4A9oSy7at017fw+BviUfW0T7OdHFpEtUzmSf5lWu5L3P0DaOPWWo/EER2+9zwA1TyKED2oxTO3o45Qvxtdt3sm1sjN01O4+aXB1nPcez50+CKtu0Vv4M3ApY/xadCttU/jHawvvXkl+BYT/HE0+PocBW/PFwAP6Bqu/WtB8+OF7F+2oKamw/QhKXX7fTEpegeD7nzeDOR3yPU//mUckm685reMshkyAkNHNrlwS54TBAIZIStTv+HemjOwlvjEXJrl9Iz4hRuNGn4T+aFbf0pvX+vfCUrRgKpTSyWKIj2y3uRk4VyJ5vjawsUDWY0QP5vSMAXHF4wmXxgWZ3ZGVqXpuP+pTsL30skr8bqAguCDTbJHYaMO2VbFpMGcvxV9gGmUDonwtfaMnbchCycVV2cKVgOCl9B2oY+tbX6c/BGPaZXODH89MVmToGT/8M4J0531nP1Gkp0I/f+dy+ek1TLoJP9em+igkHQa4SSqPinCasLQzddNgi9hPpmJaGXvPwf2jFJ6JLtMVTJPYdep7Xh/JK9Yt6Ez1TGtPCVjYmfhim6vvTTSuybguMpn1O8gHqa+5ydQ5Wi4au54ZJ5B4MbRZ7WRf23lkJpHbqZ0JOkPj7bOdQVuf8IpTHXjXef43JJk2UPY/DoX1HJAAi735DnyvjGz6Y0dyfEx+K8pm4+yWv3HnNxdovnVcqS9SXaxttsnkWvPpMYn6O/BlHqNYKRYI6B+tca1JXjp6RzosQnTBuNMFgdBChYYdV4cQpgWVbbfoot9fsqhNlsD6nfG9H3pmiVRfpIj1J2AoSG6Wt+rFasBfIVDyuyKcjMKjrs4okOIFP4d6Qv4jhLr8VWxbaWf5y9BzviT7X6b7JjRiWzYy+z+QJvcuxHdLtynxI61Zybp5sYKw9E/JS6YSxTTD5RoQhAoOLHbE5FM+xRGoVQVUWaaM9kCvpcq0Q9UrQC04hINLlijx56vXIC3Y/abjSzgWE4sloZZ64TXCnO/jKppl+foZTBjg9nQZA3QzTtKLuRAx1s4OwQgDbXwPBLMMjhJPbPXpApOlcKxP229Jjyj7eX8xUxvraAHiKRfcwLQCRle0J6GkaSaziq8ox+YINbrwxdadzuqWGoZo/vTZPh6DOyqjEC4pIQc/oq+URPHcHW5Sh0x4773wS0OjazujTJoG8k7XQ4tflykDKEOeEnHS3SJBeFqiMz/faPygfdUeMg/TE6IzQWCOh6IpiXx0Og852CpTm5+jOqvRAUeKv3KHbTTSRxNvZ9D64FTDnNznIcd1nVEZ2JH6pQoqwNY92vpAXArDvS1peA2SB2Z9al6CDI4VHHvNJ6+sec9X5XOyaUyivy6TJaYghPmN1Re5MYDaoC973KeeTmcuZPAU94gxdhJ0wl5V5WaF959nrHgLNonpC6xxuzDfcL2er3sn9eKbMna1g08lgc3WV6sDZvmRFFyjUGv6TAJjQcz1g7PRvm46W1X5b0GQ6nXn0lsxfG0MnLY/XbjYqFsKzAH1dlO/Ld3ds4q5FVaAN5bDis9cDoi4xHWxQx9mxInJT6+3t8PWgJnxjKM5oilVwp+S7zJXnKtxbZeCWtd/mvjKOSgUKiklMgabPNmoGi9VLJ5vEcbLTs7Wyvc0Bi6csw3IHpks2gLSnaVMTbEDB0HwF44Ch9moAkmmv/ZSl5I9Gw1iCY/6p5xRQnxdKVaqwkxPBFqfPWCs9UX8kWQw6u/LeIbDiwdjKoVybCv0Oq4cJCf2qOPw2/NBJwvwXafnuRx5cxOmbqKgpRPaKmGqR8J79s7f6nGzDP0HNDuaQlAOJp/HJSJoxrBxlaDuvAuf1ICF7khKH8iNBlM2qQS98C2ABnj/PDg/4V8DgGgtlX7bmIMiyssjwsBGYY2Vd6NjMHO7p1Wp/CFg08zJ6hKEEUPXz9IyCTcyua/+Nj5AAAkHmTlQziysz2iJ8/SZxB5bVRqsH3WSshr6Xrr6B7nvAjYjEATWJYPeDm+3GXtAvHtYB+hlXX/A+g8SvwGeIOuFwmF8SJfuARGg1v7L76WXVYxZHmoLnOh20IKKpeTHarirRM3ONrCrce/yWIisbp1TlWtQdEVeLfwC/G77UnhRvPL9/D+swyj0X0TWkNUFaqa9BSfbknOgheBO3eHCVYsbplYwqoOcJuNrV83wIWyQxxwn7/9sZdYb8yqj1wRD4rPM4wgOXwFkXu+gLB3DvOoQRrAdMDrdH/usLae7lmf+yrve2rZA0SOJw8XNh43zaBL8LFMe+7gWc7cWpC99o+oacOCSN98z9Hkavt7zhidqxfnJiBoka+KPkpgL9Xs4EqvwVVj8InM+4c0d6EvM6Qq2S8twVVZBC2Ga6gHpf+XLjIXv8T5O3nna1ctdjfjOpHz0J52TVz3zXp1SzyTNN4CY2aXtmmzvz0SFU6j4ZoBdk+L6R1vzGtk8gUPDbu/TF677QeE1RsGn2sSXyXDiI2DJ1MqjgsBT97nU6hNbJSnL+ea6Ey+Rie6/SyvQIbpDwqeufiKm0UHhTPKyDs1NDn7rwGPL0vlWYMPMWPLtAogrHG3QWD06PKCcqFwG3Hj0qwkULrDHLzX/wJtFyObIACQ/qi7yvM3+M+jCLLlrXAZ8SrhCUTttRvrB+D+PI61r/aqlfnNjTlxNbBJmfdIGamkm+WcNcXgQ0qxzHDv5XafxE+lqgxpF8vC3PlerHxGLirb4gysx6ch6h0iMr9sTKE001s3BOBzjwdUzMSEOKVeJEY5feeM+FnyjBsUNTFCTi6JU9v/bpb2cpRclPWKw8Sg6c580lR2uGpEFMD2krMqfIEjSLdvjnw7V7+UGINv6s+2cFLsyDZ5fwOuRWepOkdjdQzQtzuKz0ZBAKzn8bd/oat/F6XY1NN2Z3fJ0w/e7hds+ECFN+M3P8F9uHTllpwExDf+CzSIv7Zw5BwqSW/134RJvSfkUnSv/P3aRrZ/IUzT8E/2+BJibpBY7aLgCaEXjA81DkV9HeEq+5vtopivI3IrcR/DgrCNfeU+kYxwn4lpJcTxnI+PEKFBy/WwHZjcHUHusQr82IeNf++Uw/BuRYkSA1A03t8utKrb+j0aoTB+HWPs8T6tzYqqHhXP0HLpmjStc7HVKczdA9vhmriioVkpZDQz81rrvovMc3Vo1v9bHNxwp1kX7Jcb0yn/RsmMeRO8OmwVY36RwKkVTUVlS2VcUgSbI1Dg3HSrt+bFRXmcLzA/v1ZdxGdK1Xo2TlbgEPwNEw+PSV+trCtKfr34lx6rd3iaysxyajR2KUb6fRrsi7lL2eR9vXgWFtKn3I2u5wPvwdGLKomwZ6C7xyHH1F78NgrUgeeCJ/SrYIylc+nvIB0nsoU2ZxBWJJnURDT49X0XepxxOEgB7v+1G4PPgcKc5ayh/yQ/SDkX+7bkdaLZRzcHeri7GfWa4F9SeJ1HRQn7Dsc1P9mWnk+DB04oEF5SjIEsGFjSbaD9FL6rXaEj+1Mkt3+wgTROmvhbjlXU+CqqGn7YXW8f8ke9MqMjlOguguD6hqvZkugbOHZPEqSTLcNRKHQsyiWRRhji299WLiuNMI/d0AAjD3sP22ngDcVrYjvmEAu8/hDC12UDbqeESrIgcxdVnR/LPiPlA3nMloyEFYGEarEMelENNlelg7J0YYAbr+BIarIjDNtmcF5A3Wh/6THFBTYm1wqJWeEuB3VJGpZEJIRvxufF4WThKfBVjUXxUshG9xoPcMgx9ol6cccZFc8JIV+yzpNbFG7vSppifXozUx10dfNtMDl1u6s4VrLQIz9xrO5nFt5SxwZO1rVPTpCzB+yGsdiD1betW3YZQX2trzH3WlVI6xeC57A5jxc4F5Js/Rb0Tw7ZmA21odfDQFZAj5yhXiC4bWTIENAcQlz9+UXoEm+Wy86AQ4jD9PrjhggZChCsxoVYCmhu4p8PjxoWkDzsCDilHnmq1Nz5v2ZXYv1f2D6MS/wInz2YOmnZrqDIqXaqluIhlYmTqhsON5Kvsx8iIrnxmR9wdZM46QmidI/40PgaNIkvc9c36A8uhyej9f9i1u/KKpsS36o2RG4UoHC7IUQKkNUwk+PXYryECINeoH9DcbKS0PhxylSlEb3de1e+L4bcar5Fxp1LE4lOS6nI/wrJBJaUFW+ecx8gOE4lyA28mfVH6sSTSXu6GOgMh5NZqpxq05Ut+kPmWcnCuh6swhURJKBO8N1tb+nMokJMS3kisqvrgaljp+bbuFKOePTL3MFiYtvhEF/zzA1VTB/bbos+0shtP5TYAQ1JrXBcgXHt/PGK9xgv+vWUZcmK1lgrE1VDRBotk8sLcInQLrK6QM3m+N3f8y/zurMIP2YcZb5GgRilR/xUvf/cint1GIx/3y5GsImPiK4A10ZFKARbywZgEnTWfFUFfLurlgGEQn/FY1gdvkIjWS9f/zwrOpGLfc4Q6uJkGGJjUpNM6YbQu/2v+9hFNEnqzIXXDPuN+TCcT6VCdmK9UdCFUhsta/NVie/QI5xZmy0Sd0f7Au0KYl5pTwo3VAYMcuSUHtIPCPXoSN+vgazBrwskop62263/0kaBA0B7T/Rq9QvAyTRtmcdTCMjpL4CGPuczWXi6ghXCxs90gVyNzEfCsA6+tLKyx7a/gICqmv0SO5YOgITwnNAPrQaZA1J9K09yioUbNWui/7AJIoeKPXk3VUOEpV+BAFKyaeWhddAkoXF22H42/6ow91P0xS8Q9szVg2NhTVrzk9DcY2JZ2bc8slK9zRgz7FexCTu6oNO0ld9kNgnS/hGErpcQv+WEJFNEdV2Br7QiS5x+g5qjKNBEVnsemL7MIPcTuuOwhmwRCocP19C7tt9rY5mgaQkzyM9a/uENYYoGgh2PXWxizzA8Ipgvun0LCO5sYr7fddOBmE2UKG8z8GJQnCa650lGj2G0DWAPEyOZLB4U1zG0RJ3a3T0HYZhnmlkcvWLwgsUzLzvmd7GVX4oeNIR0O/E8tcoudBCMW6swXHBH8jQdNKx/E6jPynC9Ffr6pFI/yau7fHJaSFIuaKQZhPxFyS5W638jsdeFxmlTnU01XCAZjvoixmd/ceFHMZkk98vfVjpriwUFjN5NvfF3QaegXFSUDcrS9VdUbCr5geHwm4lGSnpheoakbpOWdHV9WJEGXan7iFXQv2CE34W3sSZz5dogQAsr1GVBwn5O4sDGv24MEksRQ86vDku3DdhGQIJFK5l70VP8E2Qx6OPml1gb5ZEvTZrefHOU5+HXGJLaQEw7eBevCu8mIT6XC946y50mnDu2fhNGPlq8zy3LTeJSVfUj3I9qkxyxNkrkE91kCYtwwX+76OaMKr1rBcZIX+J0R8+jDKkM9ZyHdUZIc5GIXtv3FJD456PkRrtyACzxD8cHJe42PUqaVYLzhm7KPu4jpNkcHG0ACIrA+tDaNau/W57lDM2CGn/dFvZaUZL4018vE4xOsriJ8/T4RSWZoWGOzC2iUnRKnQtEUkFMV45dJjlaM96A9xcIeT4ArAFtGaXRfX8/JnO4HWmrOX0ygEW92JyeCFLucghEy4QhtDxsfTcBG/Pdqj12AKLt+A65hd5e8nd/Dm9v21DV13NoZjebWnicOKjd4UBZ+E5Hz/GmMkCaMpiqXzQkmejMszMDndGCQhf/N97gcEIwQBS1jjZHndaFlBdNSK6lurfqTOSmrKq8NLwpPQz7QLfv9slyCVcbGOXcojKB+2hBlacaxR+/5XMcY54B6bgC22Ug4uDoEDttB5VOPkN5vgWa3GGBEuTcMWCvA2HQIsokHgTFwy3rNPtGFCZWxWKfcRCpaZ/l+kK5DQ8sSmrzp3eACVUCCQUktMdx6q1//NagHe+9urWmcz4IeYaGhq4imlXyDnIpbHokQVcY+Fy4o2DON0VJOJBB/yFlb0/xzXEptXZOycDij8UYng5FppzVbondTXGIXQOHSzMSyfjXpWzG/b3G38s8Y+FsfvKVFRhF7AKy4lH+OVLiJU9ONKnE0dj478z2fJMnOKyOC74BF1qreT3WkAGx0Bsu1Tcvaqs8MGsh04j3mI5+7nSlA2c8W8QQfQY4mKEZOIdo6M79/ZhGHWQqNHjL3YRoMpdKINEAWBahpJG1HaMnbyweU7buRK2LlB3KvaLKpFuFrPeXcDzwA7eC0JuECEFQC33TaYIX96UEJLi8A97jzmXrHFm3dWATJZ3Vb8Vgo44Q1b3R9nONfWE16BSpVMib0IYa01mFI5PjvdifpsjS+xNTaEr49nUCxbJBmHJ/VN4YshLqhIXxlnKZRe4NPoB2lzzgMfNXFRjCr0OCNOn8v4kxweRxiVFjba0GqR3CpnQ6xSPMfR2M6zQP9AfMHe5Vzk3zNAmweTAQjKMCx7VUSJcLkjIaKT/jr6h17nnmvgQIaKy0A86uYOz10i3mQ1vBsW4yBlCuc/U/giCYfhTSGSPjSPWAqcX4fhyGZaIXhPkTlPGpEpSSa9uN4KS7LH3pzk4jX4yuIkfs8+lYnYv9Uxd2BJ0aYXNfXIF/lccYEpCH6CQ01+imuRA5qkB1aF6Q3qsmyzxkiBTsxYUG9Zhw1fqO3UqwQgKZ8wjrOZMtYtPswlaFHeX5n/ilg1CcPWRVhy6oQ2vEin2MU46Y/Cc7FLHB0cR5VdLpDOfTgd0+Rg6DXnU4RWvEcgUSCm9qA9sS6WGhNsgwGM8NHSbnzCAkUl/brjtNXPpqUY5HkvVaD5De9lsijtEFWUKoX5rM6jzSbN26E8Ar4PqBtiaJoV+8Ow9fReHfs1Cwd1mACwM916+7sXSTGYHeIBA3IqaBooam+sM5QDmIgeHbc69JZUkzn8Uq6kwynNeDYJWEFbEYH+X06yIh9XcOf0ht3w5Mpl5HX37mvmTnAPFW29TvRYZnDlFc/PrS1MOZQowgYPP0o+kHoN4rItH3vzq6EKOd2rc063gcRoNMfCTUM/ELMuUnbgAVeYhi4zhyaMjHmNCZ/XEQfty/x6GZ/j3hLGuiERorw73NrXxlSGGZIi16Z1KY7I+QCxhbyEOQqmSz9WxmkdzP0U9knfdFGIiroBeK26qXsIzXDksk/PgpnfIVr3bg48PWIbU2nrNtwNYQFQ5t2jvKB1tiZzswmy0uYGEwBCbGHxV954hH4XhVekT8kKdKdZ7EqV65ADnqbThzg+orFTgWbTEMMGibVfpd6/qhL0vjYF9p1QYRFJBsiULqQoK0Howq+6iCsue8XuNRyUbZePoIylHA3lmgDLBPF/7TKhFzRx2Cxl/F8d3s1hsA66RJNClMAUDPcy4X8uTCYH6U7LypOqLB/LU8a3RDO7xF69t4mypgpDO20JdofTKNNTOIyxljS/rTj+7SErYPvI0j2mZpuzbvztJmxcoJILT+Rs7skWPrS64c5YMQiDhkVaC7kvT5qZDG8+wBIGWohx7CgxMtHISyxsz+PXWqWd8RlT27Fpv9VwbnThMuUpGmfuhBdqJid9UJluZWmGy1Nm9oNw779UfC2Xn9R5+BHQ1eGzuiFqpLBMAMG911/i9oIZk3dUCdD6Cbtzm+uIejQm4kK4FJGGbErM6UF2ZfOuOV+AmT3Hg5qAF2YE6Ay1wpMFPSJa6rcunbSG6NADE+uG44D1UllJ1eJwQzD9i8vbMx3vCAHWOVXOVzYo6sOmvvpx3n+TkTLNG8BpXlaT6pIvvHPmaehAN/WPqKOM3sB4OEPZGuYe1MGNrRHS1RtO7YCCHh4e5Cfxt9Wn9iNcyC51KyVDgjrzM4xh5K3ziKLjCZoEndZWF+asKHpQxefTXaDtv7xsu5ozDLlNLAJVI11hv6Ld2TSklWCwSVX1uw5RsDa5jWX3o7g8XnK7qIq4OCXSqwSvAaconi40w03ckHFH4FeIiEtvj/JXuSzILpGL+Mtuz4zQEEFn/rlkJBOhtZqinym7nPN62Tqk8PR9xbmDJNWNn30L7oySbDy+wt2qDb2U0J+C7aeskYBhRdhiEynZzhjjwep8YSX999/dnQwG9Q9KBDKXKrVyDRC9XgzwsVy/PgM9A28OYzkghdJTubWGmQYRKCI103aQx5yCfjc14fYaUcx+W9D/pE1KBVyO548G7iNUxhMj1fXOpzvYWzNKH9fxAH2Y6X7Tr3aq0SbZpp34Zl0fL0pCRgE3eAYPcNqg6e8iXvt91TVC3QjQFH3j+ICvDhSoL4zkK6tf8tMBhhbVhyTU8/9urx8NVK+ko2k7XHGUl08Yl8r+4pR3axI5f6P2dc2VnjqBgaXMl+BfxAVqo9V7EkU013ek5kw52p1h9MYDdz5ADFW1baTsHbta2M2+jASfjkvmPAqyhb12v+UbNfjcGxIi6PEydi/PEq3wclaQOgjyT8N68TyTgmmG9JNLadb3Chs84YXTECO2nFLuja5/0BTQRiLhr4fFuDBa2T7Hayj36AeddzPSV8PeF1MRw398ORJR4r/FGb5BWlueOYSojH+KJyau3MnsIXpbY5Ku8bxVhpIfZ8EJrqIYisP3yj/x1fx+NLfr0OvFDeCl0XZy5BLhCGc
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Specific outcome 1 - Demonstrate a clear understanding of the underlying principles of information security.
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Specific outcome 2 - Apply elementary cryptography.
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Specific outcome 3 - Demonstrate an understanding of program security and the design and protection of general-purpose operating systems.
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Specific outcome 4 - Demonstrate an understanding of database security.
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Specific outcome 5 - Demonstrate an understanding of security in networks.
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Specific outcome 6 - Demonstrate an understanding of privacy in computing.
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Specific outcome 7 - Apply and evaluate security policies and security models.
- See also